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  1. Article ; Online: MMP12 is a Potential Predictive and Prognostic Biomarker of Various Cancers Including Lung Adenocarcinoma.

    Li, Guo-Sheng / Tang, Yu-Xing / Zhang, Wei / Li, Jian-Di / Huang, He-Qing / Liu, Jun / Fu, Zong-Wang / He, Rong-Quan / Kong, Jin-Liang / Zhou, Hua-Fu / Chen, Gang

    Cancer control : journal of the Moffitt Cancer Center

    2024  Volume 31, Page(s) 10732748241235468

    Abstract: Objective: This study sought to explore the clinical value of matrix metalloproteinases 12 (: Methods: Using >10,000 samples, this retrospective study demonstrated the first pan-cancer analysis of : Results: MMP12: Conclusions: ... ...

    Abstract Objective: This study sought to explore the clinical value of matrix metalloproteinases 12 (
    Methods: Using >10,000 samples, this retrospective study demonstrated the first pan-cancer analysis of
    Results: MMP12
    Conclusions: MMP12
    MeSH term(s) Humans ; Female ; Matrix Metalloproteinase 12/genetics ; Adenocarcinoma/diagnosis ; Adenocarcinoma/genetics ; Prognosis ; Retrospective Studies ; Colonic Neoplasms ; Adenocarcinoma of Lung/genetics ; Breast Neoplasms ; RNA, Messenger/genetics ; Lung Neoplasms/genetics
    Chemical Substances Matrix Metalloproteinase 12 (EC 3.4.24.65) ; RNA, Messenger ; MMP12 protein, human (EC 3.4.24.65)
    Language English
    Publishing date 2024-02-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1328503-8
    ISSN 1526-2359 ; 1073-2748
    ISSN (online) 1526-2359
    ISSN 1073-2748
    DOI 10.1177/10732748241235468
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Clinical significance and potential pathogenesis of VCAN in adult non-cystic fibrosis bronchiectasis: a retrospective study.

    Huang, Wan-Ying / Hong, Kang-Kang / He, Rong-Quan / Luo, Jing / Huang, Zhi-Guang / Zhang, Chu-Yue / Xu, Yang / Bao, Chong-Xi / Zhang, Liang-Ming / Chen, Gang / Kong, Jin-Liang

    BMC pulmonary medicine

    2024  Volume 24, Issue 1, Page(s) 209

    Abstract: Background: The pathogenesis of adult non-cystic fibrosis (CF) bronchiectasis is complex, and the relevant molecular mechanism remains ambiguous. Versican (VCAN) is a key factor in inflammation through interactions with adhesion molecules. This study ... ...

    Abstract Background: The pathogenesis of adult non-cystic fibrosis (CF) bronchiectasis is complex, and the relevant molecular mechanism remains ambiguous. Versican (VCAN) is a key factor in inflammation through interactions with adhesion molecules. This study constructs a stable panoramic map of mRNA, reveals the possible pathogenesis of bronchiectasis, and provides new ideas and methods for bronchiectasis.
    Methods: Peripheral blood and tissue gene expression data from patients with bronchiectasis and normal control were selected by bioinformatics analysis. The expression of VCAN in peripheral blood and bronchial tissues of bronchiectasis were obtained by transcriptome sequencing. The protein expression levels of VCAN in serums were verified by the enzyme-linked immunosorbent assay (ELISA). The mRNA expression levels of VCAN in co-culture of Pseudomonas aeruginosa and bronchial epithelial cells were verified by real-time quantitative polymerase chain reaction (RT-qPCR). In addition, the biological function of VCAN was detected by the transwell assay.
    Results: The expression of VCAN was upregulated in the bronchiectasis group by sequencing analysis (P < 0.001). The expression of VCAN in the bronchial epithelial cell line BEAS-2B was increased in P. aeruginosa (P.a), which was co-cultured with BEAS-2B cells (P < 0.05). The concentration of VCAN protein in the serum of patients with bronchiectasis was higher than that in the normal control group (P < 0.05). Transwell experiments showed that exogenous VCAN protein induced the migration of neutrophils (P < 0.0001).
    Conclusions: Our findings indicate that VCAN may be involved in the development of bronchiectasis by increasing the migration of neutrophils and play an important role in bronchial pathogenesis.
    MeSH term(s) Humans ; Bronchiectasis ; Male ; Female ; Middle Aged ; Retrospective Studies ; Versicans/genetics ; Versicans/metabolism ; Adult ; Pseudomonas aeruginosa/genetics ; Epithelial Cells/metabolism ; Aged ; Up-Regulation ; Coculture Techniques ; Bronchi/pathology ; Cell Line ; RNA, Messenger/metabolism ; Case-Control Studies ; Clinical Relevance
    Chemical Substances Versicans (126968-45-4) ; VCAN protein, human ; RNA, Messenger
    Language English
    Publishing date 2024-04-29
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2059871-3
    ISSN 1471-2466 ; 1471-2466
    ISSN (online) 1471-2466
    ISSN 1471-2466
    DOI 10.1186/s12890-024-03027-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: A novel prognostic signature of coagulation-related genes leveraged by machine learning algorithms for lung squamous cell carcinoma.

    Li, Guo-Sheng / He, Rong-Quan / Huang, Zhi-Guang / Huang, Hong / Yang, Zhen / Liu, Jun / Fu, Zong-Wang / Huang, Wan-Ying / Zhou, Hua-Fu / Kong, Jin-Liang / Chen, Gang

    Heliyon

    2024  Volume 10, Issue 6, Page(s) e27595

    Abstract: Coagulation-related genes (CRGs) have been demonstrated to be essential for the development of certain tumors; however, little is known about CRGs in lung squamous cell carcinoma (LUSC). In this study, we adopted CRGs to construct a coagulation-related ... ...

    Abstract Coagulation-related genes (CRGs) have been demonstrated to be essential for the development of certain tumors; however, little is known about CRGs in lung squamous cell carcinoma (LUSC). In this study, we adopted CRGs to construct a coagulation-related gene prognostic signature (CRGPS) using machine learning algorithms. Using a set of 92 machine learning integrated algorithms, the CRGPS was determined to be the optimal prognostic signature (median C-index = 0.600) for predicting the prognosis of an LUSC patient. The CRGPS was not only superior to traditional clinical parameters (e.g., T stage, age, and gender) and its commutative genes but also outperformed 19 preexisting prognostic signatures for LUSC on predictive accuracy. The CRGPS score was positively correlated with poor prognoses in patients with LUSC (hazard ratio > 1,
    Language English
    Publishing date 2024-03-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e27595
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Deciphering the Mechanism of YuPingFeng Granules in Treating Pneumonia: A Network Pharmacology and Molecular Docking Study.

    Huang, Bing / Luo, Jing / Liu, Liu-Yuan / Deng, Wu-Sheng / Wang, Ke / Lu, Hua-Song / Kong, Jin-Liang

    Evidence-based complementary and alternative medicine : eCAM

    2022  Volume 2022, Page(s) 4161235

    Abstract: Objective: YuPingFeng Granules (YPFGs) is an herbal formula clinically used in China for more than 100 years to treat pneumonia. Nevertheless, the mechanism of YPFG in pneumonia treatment has not been established. This network pharmacology-based ... ...

    Abstract Objective: YuPingFeng Granules (YPFGs) is an herbal formula clinically used in China for more than 100 years to treat pneumonia. Nevertheless, the mechanism of YPFG in pneumonia treatment has not been established. This network pharmacology-based strategy has been performed to elucidate active compounds as well as mechanisms of YPFG in pneumonia treatment.
    Methods: First, active compounds of YPFG were identified in the traditional Chinese medicine systems pharmacology (TCMSP) database, and then the targets related to the active compounds were obtained from TCMSP and Swiss Target Prediction databases. Next, using DisGeNET, DrugBank, and GeneCards databases, we got therapeutic targets of pneumonia and common targets between pneumonia targets and YPFG. After that, a protein-protein interaction (PPI) network of pneumonia composed of common targets was built to analyze the interactions among these targets, which focused on screening for hub targets by topology. Then, online software and the ClusterProfiler package were utilized for the enrichment analysis of gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) data. Finally, the visualization software of Autodock was used for molecular docking among the hub target proteins.
    Results: 10 hub genes were selected by comparing the GO and KEGG functions of pneumonia targets with those of the common targets of YPFG and pneumonia. By using molecular docking technology, a total of 3 active ingredients have been verified as being able to combine closely with 6 hub targets and contribute to their therapeutic effects.
    Conclusion: This research explored the multigene pharmacological mechanism of action of YPFG against pneumonia through network pharmacology. The findings present new ideas for studying the mechanism of action of Chinese medicine against pneumonia caused by bacteria.
    Language English
    Publishing date 2022-10-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2171158-6
    ISSN 1741-4288 ; 1741-427X
    ISSN (online) 1741-4288
    ISSN 1741-427X
    DOI 10.1155/2022/4161235
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: CEP55: an immune-related predictive and prognostic molecular biomarker for multiple cancers.

    Li, Guo-Sheng / Zhang, Wei / Huang, Wan-Ying / He, Rong-Quan / Huang, Zhi-Guang / Gan, Xiang-Yu / Yang, Zhen / Dang, Yi-Wu / Kong, Jin-Liang / Zhou, Hua-Fu / Chen, Gang

    BMC pulmonary medicine

    2023  Volume 23, Issue 1, Page(s) 166

    Abstract: Background: Centrosomal protein 55 (CEP55) plays a significant role in specific cancers. However, comprehensive research on CEP55 is lacking in pan-cancer.: Methods: In-house and multi-center samples (n = 15,823) were used to analyze CEP55 in 33 ... ...

    Abstract Background: Centrosomal protein 55 (CEP55) plays a significant role in specific cancers. However, comprehensive research on CEP55 is lacking in pan-cancer.
    Methods: In-house and multi-center samples (n = 15,823) were used to analyze CEP55 in 33 cancers. The variance of CEP55 expression levels among tumor and control groups was evaluated by the Wilcoxon rank-sum test and standardized mean difference (SMD). The clinical value of CEP55 in cancers was assessed using receiver operating characteristic (ROC) curves, Cox regression analysis, and Kaplan-Meier curves. The correlations between CEP55 expression and the immune microenvironment were explored using Spearman's correlation coefficient.
    Results: The data of clustered regularly interspaced short palindromic repeats confirmed that CEP55 was essential for the survival of cancer cells in multiple cancer types. Elevated CEP55 mRNA expression was observed in 20 cancers, including glioblastoma multiforme (p < 0.05). CEP55 mRNA expression made it feasible to distinguish 21 cancer types between cancer specimens and their control samples (AUC = 0.97), indicating the potential of CEP55 for predicting cancer status. Overexpression of CEP55 was correlated with the prognosis of cancer individuals for 18 cancer types, exhibiting its prognostic value. CEP55 expression was relevant to tumor mutation burden, microsatellite instability, neoantigen counts, and the immune microenvironment in various cancers (p < 0.05). The expression level and clinical relevance of CEP55 in cancers were verified in lung squamous cell carcinoma using in-house and multi-center samples (SMD = 4.07; AUC > 0.95; p < 0.05).
    Conclusion: CEP55 may be an immune-related predictive and prognostic marker for multiple cancers, including lung squamous cell carcinoma.
    MeSH term(s) Humans ; Prognosis ; Carcinoma, Squamous Cell/genetics ; Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; RNA, Messenger/genetics ; Tumor Microenvironment/genetics ; Cell Cycle Proteins/genetics ; Cell Cycle Proteins/metabolism
    Chemical Substances Biomarkers, Tumor ; RNA, Messenger ; Cep55 protein, human ; Cell Cycle Proteins
    Language English
    Publishing date 2023-05-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2059871-3
    ISSN 1471-2466 ; 1471-2466
    ISSN (online) 1471-2466
    ISSN 1471-2466
    DOI 10.1186/s12890-023-02452-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Identification of the susceptibility genes for COVID-19 in lung adenocarcinoma with global data and biological computation methods.

    Gao, Li / Li, Guo-Sheng / Li, Jian-Di / He, Juan / Zhang, Yu / Zhou, Hua-Fu / Kong, Jin-Liang / Chen, Gang

    Computational and structural biotechnology journal

    2021  Volume 19, Page(s) 6229–6239

    Abstract: Introduction: The risk of infection with COVID-19 is high in lung adenocarcinoma (LUAD) patients, and there is a dearth of studies on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the ... ...

    Abstract Introduction: The risk of infection with COVID-19 is high in lung adenocarcinoma (LUAD) patients, and there is a dearth of studies on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the global differential expression landscape.
    Objectives: To fill the research void on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the global differential expression landscape.
    Methods: Herein, we identified genes, specifically the differentially expressed genes (DEGs), correlated with the susceptibility of LUAD patients to COVID-19. These were obtained by calculating standard mean deviation (SMD) values for 49 SARS-CoV-2-infected LUAD samples and 24 non-affected LUAD samples, as well as 3931 LUAD samples and 3027 non-cancer lung samples from 40 pooled RNA-seq and microarray datasets. Hub susceptibility genes significantly related to COVID-19 were further selected by weighted gene co-expression network analysis. Then, the hub genes were further analyzed via an examination of their clinical significance in multiple datasets, a correlation analysis of the immune cell infiltration level, and their interactions with the interactome sets of the A549 cell line.
    Results: A total of 257 susceptibility genes were identified, and these genes were associated with RNA splicing, mitochondrial functions, and proteasomes. Ten genes, MEA1, MRPL24, PPIH, EBNA1BP2, MRTO4, RABEPK, TRMT112, PFDN2, PFDN6, and NDUFS3, were confirmed to be the hub susceptibility genes for COVID-19 in LUAD patients, and the hub susceptibility genes were significantly correlated with the infiltration of multiple immune cells.
    Conclusion: In conclusion, the susceptibility genes for COVID-19 in LUAD patients discovered in this study may increase our understanding of the high risk of COVID-19 in LUAD patients.
    Language English
    Publishing date 2021-11-20
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2694435-2
    ISSN 2001-0370
    ISSN 2001-0370
    DOI 10.1016/j.csbj.2021.11.026
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Identification of the susceptibility genes for COVID-19 in lung adenocarcinoma with global data and biological computation methods

    Gao, Li / Li, Guo-Sheng / Li, Jian-Di / He, Juan / Zhang, Yu / Zhou, Hua-Fu / Kong, Jin-Liang / Chen, Gang

    Computational and Structural Biotechnology Journal. 2021, v. 19

    2021  

    Abstract: The risk of infection with COVID-19 is high in lung adenocarcinoma (LUAD) patients, and there is a dearth of studies on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the global ... ...

    Abstract The risk of infection with COVID-19 is high in lung adenocarcinoma (LUAD) patients, and there is a dearth of studies on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the global differential expression landscape.To fill the research void on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the global differential expression landscape.Herein, we identified genes, specifically the differentially expressed genes (DEGs), correlated with the susceptibility of LUAD patients to COVID-19. These were obtained by calculating standard mean deviation (SMD) values for 49 SARS-CoV-2-infected LUAD samples and 24 non-affected LUAD samples, as well as 3931 LUAD samples and 3027 non-cancer lung samples from 40 pooled RNA-seq and microarray datasets. Hub susceptibility genes significantly related to COVID-19 were further selected by weighted gene co-expression network analysis. Then, the hub genes were further analyzed via an examination of their clinical significance in multiple datasets, a correlation analysis of the immune cell infiltration level, and their interactions with the interactome sets of the A549 cell line.A total of 257 susceptibility genes were identified, and these genes were associated with RNA splicing, mitochondrial functions, and proteasomes. Ten genes, MEA1, MRPL24, PPIH, EBNA1BP2, MRTO4, RABEPK, TRMT112, PFDN2, PFDN6, and NDUFS3, were confirmed to be the hub susceptibility genes for COVID-19 in LUAD patients, and the hub susceptibility genes were significantly correlated with the infiltration of multiple immune cells.In conclusion, the susceptibility genes for COVID-19 in LUAD patients discovered in this study may increase our understanding of the high risk of COVID-19 in LUAD patients.
    Keywords COVID-19 infection ; RNA ; adenocarcinoma ; biotechnology ; data collection ; genes ; lungs ; microarray technology ; mitochondria ; risk ; sequence analysis
    Language English
    Size p. 6229-6239.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 2694435-2
    ISSN 2001-0370
    ISSN 2001-0370
    DOI 10.1016/j.csbj.2021.11.026
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: MMP12 serves as an immune cell-related marker of disease status and prognosis in lung squamous cell carcinoma.

    Zhang, Wei / Li, Guo-Sheng / Gan, Xiang-Yu / Huang, Zhi-Guang / He, Rong-Quan / Huang, Hong / Li, Dong-Ming / Tang, Yu-Lu / Tang, Deng / Zou, Wen / Liu, Jun / Dang, Yi-Wu / Chen, Gang / Zhou, Hua-Fu / Kong, Jin-Liang / Lu, Hui-Ping

    PeerJ

    2023  Volume 11, Page(s) e15598

    Abstract: Background: Worldwide, lung squamous cell carcinoma (LUSC) has wreaked havoc on humanity. Matrix metallopeptidase 12 (: Methods: There were 2,738 messenger RNA (mRNA) samples from several multicenter databases used to detect : Results: MMP12: ... ...

    Abstract Background: Worldwide, lung squamous cell carcinoma (LUSC) has wreaked havoc on humanity. Matrix metallopeptidase 12 (
    Methods: There were 2,738 messenger RNA (mRNA) samples from several multicenter databases used to detect
    Results: MMP12
    Conclusions: MMP12
    MeSH term(s) Humans ; Carcinoma, Non-Small-Cell Lung ; Carcinoma, Squamous Cell/genetics ; Lung ; Lung Neoplasms/diagnosis ; Matrix Metalloproteinase 12/genetics ; Prognosis ; Tumor Microenvironment/genetics
    Chemical Substances Matrix Metalloproteinase 12 (EC 3.4.24.65) ; MMP12 protein, human (EC 3.4.24.65)
    Language English
    Publishing date 2023-08-16
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2703241-3
    ISSN 2167-8359 ; 2167-8359
    ISSN (online) 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.15598
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: The clinical significance and mechanism of microRNA-22-3p targeting TP53 in lung adenocarcinoma.

    Lin, Rui / Li, Guo-Sheng / Gan, Xiang-Yu / Peng, Jun-Xi / Feng, Yue / Wang, Li-Ting / Zhang, Chu-Yue / Huang, Kun-Ying / Huang, Shi-Hai / Yang, Lin / Kong, Jin-Liang / Zhou, Hua-Fu / Chen, Gang / Huang, Wan-Ying

    Technology and health care : official journal of the European Society for Engineering and Medicine

    2023  Volume 31, Issue 5, Page(s) 1691–1707

    Abstract: Background: At present, studies on MircoRNA-22-3p (miR-22-3p) in lung adenocarcinoma use a single method, lack multi-center validation and multi-method validation, and there is no big data concept to predict and validate target genes.: Objective: To ... ...

    Abstract Background: At present, studies on MircoRNA-22-3p (miR-22-3p) in lung adenocarcinoma use a single method, lack multi-center validation and multi-method validation, and there is no big data concept to predict and validate target genes.
    Objective: To investigate the expression, potential targets and clinicopathological significance of miR-22-3p in lung adenocarcinoma (LUAD) tissues.
    Methods: LUAD formalin-fixed paraffin-embedded (FFPE) tumors and adjacent normal lung tissues were collected for real-time quantitative polymerase chain reaction (RT-qPCR). Collect miR-22-3p in LUAD and non-cancer lung tissue from high-throughput datasets, standardized mean difference (SMD) and area under the curve (AUC) of the comprehensive receiver operating curve (summary receiver operating characteristic cure, sROC curve) were calculated. Cell function experiments on A549 cells transfected with LV-hsa-miR-22-3p. Target genes were predicted by the miRwalk2.0 website and the resulting target genes were subjected to Gene Ontology (GO) pathway enrichment analysis and constructed to protein-protein interaction network. Finally, the protein expression level of the key gene TP53 was validated by searching The Human Protein Atlas (THPA) database to incorporate TP53 immunohistochemical results in LUAD.
    Results: RT-qPCR result from 41 pairs of LUAD and adjacent lung tissues showed that miR-22-3p was downregulated in LUAD (AUC = 0.6597, p= 0.0128). Globally, a total of 838 LUADs and 494 non-cancerous lung tissues were included, and were finally combined into 14 platforms. Compared with noncancerous tissue, miR-22-3p expression level was significantly reduced in LUAD tissue (SMD =-0.32, AUC = 0.72l); cell function experiments showed that miR-22-3p has inhibitory effects on cell proliferation, migration and invasion, and has promotion effect on apoptosis. Moreover, target genes prediction, GO pathway enrichment analysis and PPI network exhibited TP53 as a key gene of target gene of miR-22-3p; at last, a total of 114 high-throughput datasets were included, including 3897 LUADs and 2993 non-cancerous lung tissues, and were finally combined into 37 platforms. Compared with noncancerous tissue, TP53 expression level was significantly increased in LUAD (SMD = 0.39, p< 0.01) and it was verified by the protein expression data from THPA.
    Conclusion: Overexpression of miR-22-3p may inhibit LUAD cell proliferation, migration and invasion through TP53, and promote cell apoptosis.
    MeSH term(s) Humans ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Clinical Relevance ; Adenocarcinoma of Lung/genetics ; Adenocarcinoma of Lung/pathology ; Lung Neoplasms/genetics ; Lung Neoplasms/pathology ; Lung/pathology ; Cell Proliferation/genetics ; Tumor Suppressor Protein p53/genetics
    Chemical Substances MicroRNAs ; TP53 protein, human ; Tumor Suppressor Protein p53 ; MIRN22 microRNA, human
    Language English
    Publishing date 2023-03-24
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1159961-3
    ISSN 1878-7401 ; 0928-7329
    ISSN (online) 1878-7401
    ISSN 0928-7329
    DOI 10.3233/THC-220494
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: SYNJ2 is a novel and potential biomarker for the prediction and treatment of cancers: from lung squamous cell carcinoma to pan-cancer.

    Hou, Wei / Li, Guo-Sheng / Gao, Li / Lu, Hui-Ping / Zhou, Hua-Fu / Kong, Jin-Liang / Chen, Gang / Xia, Shuang / Wei, Hong-Yu

    BMC medical genomics

    2022  Volume 15, Issue 1, Page(s) 114

    Abstract: Background: The roles and clinical values of synaptojanin 2 (SYNJ2) in lung squamous cell carcinoma (LUSC) remain unclear.: Methods: A total of 2824 samples from multi-center were collected to identify the expression of SYNJ2 in LUSC by using ... ...

    Abstract Background: The roles and clinical values of synaptojanin 2 (SYNJ2) in lung squamous cell carcinoma (LUSC) remain unclear.
    Methods: A total of 2824 samples from multi-center were collected to identify the expression of SYNJ2 in LUSC by using Wilcoxon rank-sum test, t-test, and standardized mean difference (SMD), and 194 in-house samples were also included to validate SYNJ2 expression in LUSC. The clinical roles of SYNJ2 were investigated via receiver operating characteristic (ROC) curves, univariate Cox regression analysis, and Kaplan-Meier plots. The underlying mechanisms of SYNJ2 in LUSC were explored by gene set enrichment analysis and immune correlation analysis. Further, a pan-cancer analysis based on 10,238 sapiens was performed to promote the understating of the expression and clinical significance of SYNJ2 in multiple human cancers.
    Results: SYNJ2 was found to be significantly upregulated in LUSC at both mRNA and protein levels (p < 0.05, SMD = 0.89 [95% CI 0.34-1.45]) via public and in-house samples. Overexpressed SYNJ2 predicted poor prognosis for LUSC patients (hazard ratio = 2.38 [95% CI 1.42-3.98]). The cancer-promoting effect of SYNJ2 may be related to protein digestion and absorption and extracellular matrix-receptor interaction. SYNJ2 expression was closely related to immune cell infiltration, indicating its role in the immune response. Moreover, the distinct expression levels and essential clinical relevance of SYNJ2 in a series of cancers were initially revealed in this study.
    Conclusions: This study disclosed the clinical significance of SYNJ2 in LUSC and multiple cancers, demonstrating the novel and potential biomarker for predicting and treating cancers.
    MeSH term(s) Biomarkers ; Carcinoma, Non-Small-Cell Lung/genetics ; Carcinoma, Squamous Cell/diagnosis ; Carcinoma, Squamous Cell/genetics ; Carcinoma, Squamous Cell/pathology ; Gene Expression Regulation, Neoplastic ; Humans ; Lung/pathology ; Lung Neoplasms/diagnosis ; Lung Neoplasms/genetics ; Nerve Tissue Proteins ; Phosphoric Monoester Hydrolases/metabolism ; Prognosis
    Chemical Substances Biomarkers ; Nerve Tissue Proteins ; synaptojanin (EC 3.1.3.-) ; Phosphoric Monoester Hydrolases (EC 3.1.3.2) ; phosphoinositide 5-phosphatase (EC 3.1.3.36)
    Language English
    Publishing date 2022-05-17
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2411865-5
    ISSN 1755-8794 ; 1755-8794
    ISSN (online) 1755-8794
    ISSN 1755-8794
    DOI 10.1186/s12920-022-01266-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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