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  1. Article ; Online: Bacterial DNA involvement in carcinogenesis.

    Yangyanqiu, Wang / Shuwen, Han

    Frontiers in cellular and infection microbiology

    2022  Volume 12, Page(s) 996778

    Abstract: The incidence of cancer is high worldwide, and biological factors such as viruses and bacteria play an important role in the occurrence of cancer. ... Helicobacter pylori ... , ... human papillomavirus ... , ... hepatitis B viruses ... and other organisms ... ...

    Abstract The incidence of cancer is high worldwide, and biological factors such as viruses and bacteria play an important role in the occurrence of cancer. Helicobacter pylori, human papillomavirus, hepatitis B viruses and other organisms have been identified as carcinogens. Cancer is a disease driven by the accumulation of genome changes. Viruses can directly cause cancer by changing the genetic composition of the human body, such as cervical cancer caused by human papillomavirus DNA integration and liver cancer caused by hepatitis B virus DNA integration. Recently, bacterial DNA has been found around cancers such as pancreatic cancer, breast cancer and colorectal cancer, and the idea that bacterial genes can also be integrated into the human genome has become a hot topic. In the present paper, we reviewed the latest phenomenon and specific integration mechanism of bacterial DNA into the human genome. Based on these findings, we also suggest three sources of bacterial DNA in cancers: bacterial DNA around human tissues, free bacterial DNA in bacteremia or sepsis, and endogenous bacterial DNA in the human genome. Clarifying the theory that bacterial DNA integrates into the human genome can provide a new perspective for cancer prevention and treatment.
    MeSH term(s) Female ; Humans ; DNA, Bacterial/genetics ; Virus Integration ; Carcinogenesis ; Uterine Cervical Neoplasms ; Genome, Human ; DNA, Viral/genetics
    Chemical Substances DNA, Bacterial ; DNA, Viral
    Language English
    Publishing date 2022-10-12
    Publishing country Switzerland
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2619676-1
    ISSN 2235-2988 ; 2235-2988
    ISSN (online) 2235-2988
    ISSN 2235-2988
    DOI 10.3389/fcimb.2022.996778
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Gut microbes involvement in gastrointestinal cancers through redox regulation.

    Yangyanqiu, Wang / Jian, Chu / Yuqing, Yang / Zhanbo, Qu / Shuwen, Han

    Gut pathogens

    2023  Volume 15, Issue 1, Page(s) 35

    Abstract: Gastrointestinal (GI) cancers are among the most common and lethal cancers worldwide. GI microbes play an important role in the occurrence and development of GI cancers. The common mechanisms by which GI microbes may lead to the occurrence and ... ...

    Abstract Gastrointestinal (GI) cancers are among the most common and lethal cancers worldwide. GI microbes play an important role in the occurrence and development of GI cancers. The common mechanisms by which GI microbes may lead to the occurrence and development of cancer include the instability of the microbial internal environment, secretion of cancer-related metabolites, and destabilization of the GI mucosal barrier. In recent years, many studies have found that the relationship between GI microbes and the development of cancer is closely associated with the GI redox level. Redox instability associated with GI microbes may induce oxidative stress, DNA damage, cumulative gene mutation, protein dysfunction and abnormal lipid metabolism in GI cells. Redox-related metabolites of GI microbes, such as short-chain fatty acids, hydrogen sulfide and nitric oxide, which are involved in cancer, may also influence GI redox levels. This paper reviews the redox reactions of GI cells regulated by microorganisms and their metabolites, as well as redox reactions in the cancer-related GI microbes themselves. This study provides a new perspective for the prevention and treatment of GI cancers.
    Language English
    Publishing date 2023-07-13
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2478277-4
    ISSN 1757-4749
    ISSN 1757-4749
    DOI 10.1186/s13099-023-00562-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Developing a Diagnostic Model to Predict the Risk of Asthma Based on Ten Macrophage-Related Gene Signatures

    Xiaoshun Ai / Hong Shen / Yangyanqiu Wang / Jing Zhuang / Yani Zhou / Furong Niu / Qing Zhou

    BioMed Research International, Vol

    2022  Volume 2022

    Abstract: Objective. Asthma (AS) is a chronic inflammatory disease of the airway, and macrophages contribute to AS remodeling. Our study aims at screening macrophage-related gene signatures to build a risk prediction model and explore its predictive abilities in ... ...

    Abstract Objective. Asthma (AS) is a chronic inflammatory disease of the airway, and macrophages contribute to AS remodeling. Our study aims at screening macrophage-related gene signatures to build a risk prediction model and explore its predictive abilities in AS diagnosis. Methods. Three microarray datasets were downloaded from the GEO database. The Limma package was used to screen differentially expressed genes (DEGs) between AS and controls. The ssGSEA algorithm was used to determine immune cell proportions. The Pearson correlation coefficient was computed to select the macrophage-related DEGs. The LASSO and RFE algorithms were implemented to filter the macrophage-related DEG signatures to establish a risk prediction model. Receiver operating characteristic (ROC) curves were used to assess the diagnostic ability of the prediction model. Finally, the qPCR was used to detect the expression of selected differential genes in sputum from healthy people and asthmatic patients. Results. We obtained 1,189 DEGs between AS and controls from the combined datasets. By evaluating immune cell proportions, macrophages showed a significant difference between the two groups, and 439 DEGs were found to be associated with macrophages. These genes were mainly enriched in the gene ontology-biological process of immune and inflammatory responses, as well as in the KEGG pathways of cytokine-cytokine receptor interaction and biosynthesis of antibiotics. Finally, 10 macrophage-related DEG signatures (EARS2, ATP2A2, COLGALT1, GART, WNT5A, AK5, ZBTB16, CCL17, ADORA3, and CXCR4) were screened as an optimized gene set to predict AS diagnosis, and they showed diagnostic abilities with AUCs of 0.968 and 0.875 in ROC curves of combined and validation datasets, respectively. The mRNA expressions of EARS2, ATP2A2, COLGALT1, and GART in the control group were higher than in AS group, while the expressions of WNT5A, AK5, ZBTB16, CCL17, ADORA3, and CXCR4 in the control group were lower than that in the AS group. Conclusion. We proposed a diagnostic ...
    Keywords Medicine ; R
    Subject code 610
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Biological roles of toll-like receptors and gut microbiota in colorectal cancer.

    Yinhang, Wu / Wei, Wu / Jing, Zhuang / Qing, Zhou / Yani, Zhou / Yangyanqiu, Wang / Shuwen, Han

    Future microbiology

    2022  Volume 17, Page(s) 1071–1089

    Abstract: Colorectal cancer (CRC) is one of the most considerably common malignancies of the alimentary system, with high mortality and incidence rates.  The present study suggested that the occurrence of CRC is closely related to bacteria, as the large intestine ... ...

    Abstract Colorectal cancer (CRC) is one of the most considerably common malignancies of the alimentary system, with high mortality and incidence rates.  The present study suggested that the occurrence of CRC is closely related to bacteria, as the large intestine is a gathering place for human micro-organisms. However, the nosogenesis of bacteria leading to tumorigenesis is still obscure. Recently, many studies have reported that toll-like receptors and their related molecular pathways are involved in the process of gut micro-organisms generating CRC. Gut micro-organisms can promote or inhibit the development of CRC via binding to special toll-like receptors. In this paper, the authors review the relationship among toll-like receptors, gut micro-organisms and CRC in order to provide a reference for future tumor immunotherapy and targeted therapy.
    MeSH term(s) Bacteria ; Colorectal Neoplasms/pathology ; Gastrointestinal Microbiome ; Humans ; Toll-Like Receptors
    Chemical Substances Toll-Like Receptors
    Language English
    Publishing date 2022-08-02
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2254620-0
    ISSN 1746-0921 ; 1746-0913
    ISSN (online) 1746-0921
    ISSN 1746-0913
    DOI 10.2217/fmb-2021-0072
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Prognostic model based on six PD-1 expression and immune infiltration-associated genes predicts survival in breast cancer.

    Junjun, Shen / Yangyanqiu, Wang / Jing, Zhuang / Jie, Pu / Jian, Chu / Yuefen, Pan / Shuwen, Han

    Breast cancer (Tokyo, Japan)

    2022  Volume 29, Issue 4, Page(s) 666–676

    Abstract: Background: The prognosis of breast cancer (BC) was associated with the expression of programmed cell death-1 (PD-1).: Methods: BC-related expression and clinical data were downloaded from TCGA database. PD-1 expression with overall survival and ... ...

    Abstract Background: The prognosis of breast cancer (BC) was associated with the expression of programmed cell death-1 (PD-1).
    Methods: BC-related expression and clinical data were downloaded from TCGA database. PD-1 expression with overall survival and clinical factors were investigated. Gene set variation analysis (GSVA) and weighted gene correlation network analysis were performed to investigate the PD-1 expression-associated KEGG pathways and genes, respectively. Immune infiltration was analyzed using the ssGSEA algorithm and DAVID, respectively. Univariate and multivariable Cox and LASSO regression analyses were performed to select prognostic genes for modeling.
    Results: High PD-1 expression was related to prolonged survival time (P = 0.014). PD-1 expression status showed correlations with age, race, and pathological subtype. ER- and PR-negative patients exhibited high PD-1 expression. The GSVA revealed that high PD-1 expression was associated with various immune-associated pathways, such as T cell/B cell receptor signaling pathway or natural killer cell-mediated cytotoxicity. The patients in the high-immune infiltration group exhibited significantly higher PD-1 expression levels. In summary, 397 genes associated with both immune infiltration and PD-1 expression were screened. Univariate analysis and LASSO regression model identified the six most valuable prognostic genes, namely IRC3, GBP2, IGJ, KLHDC7B, KLRB1, and RAC2. The prognostic model could predict survival for BC patients.
    Conclusion: High PD-1 expression was associated with high-immune infiltration in BC patients. Genes closely associated with PD-1, immune infiltration and survival prognosis were screened to predict prognosis.
    MeSH term(s) Algorithms ; Apoptosis ; Breast Neoplasms/genetics ; Female ; Humans ; Prognosis ; Programmed Cell Death 1 Receptor/genetics
    Chemical Substances Programmed Cell Death 1 Receptor
    Language English
    Publishing date 2022-03-01
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2052429-8
    ISSN 1880-4233 ; 1340-6868
    ISSN (online) 1880-4233
    ISSN 1340-6868
    DOI 10.1007/s12282-022-01344-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Application and progress of highcontent imaging in molecular biology.

    Boyang, Hu / Yangyanqiu, Wang / Wenting, Rui / Chenxin, Yan / Jian, Chu / Zhanbo, Qu / Yanjun, Yao / Qiang, Yan / Shuwen, Han

    Biotechnology journal

    2023  Volume 18, Issue 12, Page(s) e2300170

    Abstract: Humans have adopted many different methods to explore matter imaging, among which high content imaging (HCI) could conduct automated imaging analysis of cells while maintaining its structural and functional integrity. Meanwhile, as one of the most ... ...

    Abstract Humans have adopted many different methods to explore matter imaging, among which high content imaging (HCI) could conduct automated imaging analysis of cells while maintaining its structural and functional integrity. Meanwhile, as one of the most important research tools for diagnosing human diseases, HCI is widely used in the frontier of medical research, and its future application has attracted researchers' great interests. Here, the meaning of HCI was briefly explained, the history of optical imaging and the birth of HCI were described, and the experimental methods of HCI were described. Furthermore, the directions of the application of HCI were highlighted in five aspects: protein localization changes, gene identification, chemical and genetic analysis, microbiology, and drug discovery. Most importantly, some challenges and future directions of HCI were discussed, and the application and optimization of HCI were expected to be further explored.
    MeSH term(s) Humans ; Diagnostic Imaging ; Image Processing, Computer-Assisted ; Drug Discovery ; Molecular Biology
    Language English
    Publishing date 2023-09-11
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2221885-3
    ISSN 1860-7314 ; 1860-6768
    ISSN (online) 1860-7314
    ISSN 1860-6768
    DOI 10.1002/biot.202300170
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Differences in T cell immune-related lncRNA and mRNA expression patterns between right- and left-sided colorectal cancers.

    Lijuan, Yin / Yinhang, Wu / Yangyanqiu, Wang / Xiaohui, Hou / Yunhai, Wei / Shuwen, Han

    Human immunology

    2021  Volume 82, Issue 12, Page(s) 950–959

    Abstract: Background: Right-sided colorectal cancer (RCRC) and left-sided colorectal cancer (LCRC) harbor different genetic alterations associated with immune response.: Objective: This study aimed to analyze the differences in T cell immune-related RNA ... ...

    Abstract Background: Right-sided colorectal cancer (RCRC) and left-sided colorectal cancer (LCRC) harbor different genetic alterations associated with immune response.
    Objective: This study aimed to analyze the differences in T cell immune-related RNA expression patterns between RCRC and LCRC.
    Methods: The differentially expressed genes (DEGs) and lncRNAs (DElncRNAs) between LCRC and RCRC were screened from the Cancer Genome Atlas (TCGA) database. A correlation analysis between DEGs or DElncRNAs and differential T cells was also performed to obtain T cell-related genes, followed by miRNA prediction. The mRNA-lncRNA network and the competitive endogenous RNA (ceRNA) network were subsequently constructed, and the expression level of mRNA in the ceRNA network was verified using GSE104645.
    Results: RCRC patients had a poorer prognosis and were older than LCRC patients. In total, 923 DEGs and 328 DElncRNAs were screened between LCRC and RCRC patients. Compared to RCRC patients, LCRC patients showed a decrease in CD8
    Conclusion: The analysis of T cell immune-related RNA expression might provide new insights into the underlying molecular mechanisms of the differences between LCRC and RCRC.
    MeSH term(s) Aged ; CD8-Positive T-Lymphocytes/immunology ; CD8-Positive T-Lymphocytes/pathology ; Colorectal Neoplasms/genetics ; Colorectal Neoplasms/immunology ; Colorectal Neoplasms/pathology ; Female ; Gene Expression Regulation, Neoplastic/immunology ; Humans ; Lymphocytes, Tumor-Infiltrating/immunology ; Lymphocytes, Tumor-Infiltrating/pathology ; Male ; MicroRNAs/genetics ; MicroRNAs/immunology ; Middle Aged ; RNA, Long Noncoding/genetics ; RNA, Long Noncoding/immunology ; RNA, Neoplasm
    Chemical Substances MicroRNAs ; RNA, Long Noncoding ; RNA, Neoplasm
    Language English
    Publishing date 2021-08-21
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 801524-7
    ISSN 1879-1166 ; 0198-8859
    ISSN (online) 1879-1166
    ISSN 0198-8859
    DOI 10.1016/j.humimm.2021.08.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Downregulation of Rap1GAP Expression Activates the TGF-

    Yan, Zheng / Yangyanqiu, Wang / Shuwen, Han / Jing, Mao / Haihong, Liao / Gong, Chen / Yin, Jin / Qing, Zhou / Weili, Gao

    BioMed research international

    2021  Volume 2021, Page(s) 6840642

    Abstract: Objective: Rap1GAP is considered a tumor suppressor gene, but its regulatory mechanism in papillary thyroid cancer (PTC) has not been clearly elucidated. The aim of this study was to explore whether the regulation between Rap1GAP and sodium/iodine ... ...

    Abstract Objective: Rap1GAP is considered a tumor suppressor gene, but its regulatory mechanism in papillary thyroid cancer (PTC) has not been clearly elucidated. The aim of this study was to explore whether the regulation between Rap1GAP and sodium/iodine transporter (NIS) in tumorigenesis of PTC is mediated by TGF-
    Methods: Western blotting (WB) and quantitative reverse-transcription polymerase chain reaction were performed to analyze the relationships between TGF-
    Results: The results suggested that TGF-
    Conclusion: The downregulation of Rap1GAP expression can activate the TGF-
    MeSH term(s) Animals ; Apoptosis ; Cell Line, Tumor ; Cell Movement ; Cell Proliferation ; Down-Regulation ; Female ; GTPase-Activating Proteins/antagonists & inhibitors ; GTPase-Activating Proteins/genetics ; GTPase-Activating Proteins/metabolism ; Gene Expression Regulation, Neoplastic ; Gene Knockdown Techniques ; Heterografts ; Humans ; Mice ; Mice, Inbred BALB C ; Mice, Nude ; Neoplasm Invasiveness ; RNA, Messenger/genetics ; RNA, Messenger/metabolism ; RNA, Small Interfering/genetics ; Signal Transduction ; Smad3 Protein/metabolism ; Symporters/antagonists & inhibitors ; Symporters/genetics ; Symporters/metabolism ; Thyroid Cancer, Papillary/genetics ; Thyroid Cancer, Papillary/metabolism ; Thyroid Cancer, Papillary/pathology ; Thyroid Neoplasms/genetics ; Thyroid Neoplasms/metabolism ; Thyroid Neoplasms/pathology ; Transforming Growth Factor beta1/metabolism
    Chemical Substances GTPase-Activating Proteins ; RAP1GAP protein, human ; RNA, Messenger ; RNA, Small Interfering ; SMAD3 protein, human ; Smad3 Protein ; Symporters ; TGFB1 protein, human ; Transforming Growth Factor beta1 ; sodium-iodide symporter (4XE5NDT4K1)
    Language English
    Publishing date 2021-11-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2698540-8
    ISSN 2314-6141 ; 2314-6133
    ISSN (online) 2314-6141
    ISSN 2314-6133
    DOI 10.1155/2021/6840642
    Database MEDical Literature Analysis and Retrieval System OnLINE

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