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  1. Article ; Online: ELOVL6 is associated with immunosuppression in lung adenocarcinoma through bioinformatics analysis.

    Chen, Binyu / Shen, Kaiyu / Zhang, Tiantian / Gao, Wen-Cang

    Medicine

    2023  Volume 102, Issue 36, Page(s) e35013

    Abstract: The aim of this paper was to reveal the correlation between the expression of ELOVL fatty acid elongase 6 (ELOVL6) gene in lung adenocarcinoma (LUAD) and its clinical significance, immune cell infiltration level and prognosis. Expression profile data of ... ...

    Abstract The aim of this paper was to reveal the correlation between the expression of ELOVL fatty acid elongase 6 (ELOVL6) gene in lung adenocarcinoma (LUAD) and its clinical significance, immune cell infiltration level and prognosis. Expression profile data of ELOVL6 mRNA were collected from the cancer genome atlas database to analyze the differences in ELOVL6 mRNA expression in LUAD tissues and normal lung tissues, and to analyze the correlation between ELOVL6 and information on clinicopathological features. Based on TIMER database, TISDIB database and GEPIA2 database, the correlation between ELOVL6 expression and tumor immune cell infiltration in LUAD was analyzed. Gene ontology and Kyoto encyclopedia of genes and genomes enrichment analyses of ELOVL6-related co-expressed genes were performed to identify the involved signaling pathways and to construct their co-expressed gene protein interaction networks. Drugs affected by ELOVL6 expression were screened based on the Cell Miner database. These findings suggest that ELOVL6 plays an important role in the course of LUAD, and the expression level of this gene has a close relationship with clinicopathological characteristics and survival prognosis, and has the potential to become a prognostic marker and therapeutic target for LUAD.
    MeSH term(s) Humans ; Adenocarcinoma/genetics ; Adenocarcinoma of Lung/genetics ; Computational Biology ; Immunosuppression Therapy ; Lung Neoplasms/genetics ; Fatty Acid Elongases/genetics
    Chemical Substances ELOVL6 protein, human ; Fatty Acid Elongases (EC 2.3.1.-)
    Language English
    Publishing date 2023-09-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000035013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Single-Cell RNA Sequencing Reveals the Role of Epithelial Cell Marker Genes in Predicting the Prognosis of Colorectal Cancer Patients.

    Shen, Kai-Yu / Chen, Bin-Yu / Gao, Wen-Cang

    Disease markers

    2022  Volume 2022, Page(s) 8347125

    Abstract: Single-cell RNA sequencing (scRNA-seq) is increasingly used in studies on gastrointestinal cancers. This study investigated the prognostic value of epithelial cell-associated biomarkers in colorectal cancer (CRC) using scRNA-seq data. We downloaded and ... ...

    Abstract Single-cell RNA sequencing (scRNA-seq) is increasingly used in studies on gastrointestinal cancers. This study investigated the prognostic value of epithelial cell-associated biomarkers in colorectal cancer (CRC) using scRNA-seq data. We downloaded and analysed scRNA-seq data from four CRC samples from the Gene Expression Omnibus (GEO), and we identified marker genes of malignant epithelial cells (MECs) using CRC transcriptome and clinical data downloaded from The Cancer Genome Atlas (TCGA) and GEO as training and validation cohorts, respectively. In the TCGA training cohort, weighted gene correlation network analysis, univariate Cox proportional hazard model (Cox) analysis, and least absolute shrinkage and selection operator regression analysis were performed on the marker genes of MEC subsets to identify a signature of nine prognostic MEC-related genes (MECRGs) and calculate a risk score based on the signature. CRC patients were divided into high- and low-risk groups according to the median risk score. We found that the MECRG risk score was significantly correlated with the clinical features and overall survival of CRC patients, and that CRC patients in the high-risk group showed a significantly shorter survival time. The univariate and multivariate Cox regression analyses showed that the MECRG risk score can serve as an independent prognostic factor for CRC patients. Gene set enrichment analysis revealed that the MECRG signature genes are involved in fatty acid metabolism, p53 signalling, and other pathways. To increase the clinical application value, we constructed a MECRG nomogram by combining the MECRG risk score with other independent prognostic factors. The validity of the nomogram is based on receiver operating characteristics and calibration curves. The MECRG signature and nomogram models were well validated in the GEO dataset. In conclusion, we established an epithelial cell marker gene-based risk assessment model based on scRNA-seq analysis of CRC samples for predicting the prognosis of CRC patients.
    MeSH term(s) Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; Colorectal Neoplasms/pathology ; Epithelial Cells/metabolism ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Prognosis ; Sequence Analysis, RNA
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2022-08-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604951-5
    ISSN 1875-8630 ; 0278-0240
    ISSN (online) 1875-8630
    ISSN 0278-0240
    DOI 10.1155/2022/8347125
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Characteristics of and therapeutic strategy for pulmonary typical carcinoid: a population-based study.

    Cao, Ying / Gao, Wen-Cang / Zhu, Hong-Ye / Yao, Cheng

    Chinese medical journal

    2021  Volume 134, Issue 11, Page(s) 1385–1386

    MeSH term(s) Adenoma ; Carcinoid Tumor ; Carcinoma, Neuroendocrine ; Humans ; Lung Neoplasms/drug therapy
    Language English
    Publishing date 2021-03-25
    Publishing country China
    Document type Letter
    ZDB-ID 127089-8
    ISSN 2542-5641 ; 0366-6999 ; 1002-0187
    ISSN (online) 2542-5641
    ISSN 0366-6999 ; 1002-0187
    DOI 10.1097/CM9.0000000000001433
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Network Pharmacology and Molecular Docking Analysis on Molecular Targets and Mechanisms of Fei Jin Sheng Formula in the Treatment of Lung Cancer.

    Zhang, Yun-Chao / Gao, Wen-Cang / Chen, Wei-Jian / Pang, De-Xiang / Mo, Da-Yu / Yang, Min

    Current pharmaceutical design

    2023  Volume 29, Issue 14, Page(s) 1121–1134

    Abstract: Background: Fei Jin Sheng Formula (FJSF) is widely used in clinical treatment of lung cancer. But the underlying active ingredients and mechanisms are unclear.: Objective: To investigate the active components and functional mechanisms of FJSF in ... ...

    Abstract Background: Fei Jin Sheng Formula (FJSF) is widely used in clinical treatment of lung cancer. But the underlying active ingredients and mechanisms are unclear.
    Objective: To investigate the active components and functional mechanisms of FJSF in treating lung cancer using a network pharmacology approach and molecular docking combined with
    Results: FJSF contained 272 active ingredients and 52 potential targets for lung cancer. GO enrichment analysis is mainly related to cell migration and movement, lipid metabolism, and protein kinase activity. KEGG pathway enrichment analysis mainly involves PI3K-Akt, TNF, HIF-1, and other pathways. Molecular docking shows that the compound Xambioona, quercetin and methyl palmitate in FJSF has a strong binding ability with NTRK1, APC, and DVL2. Analysis of the data in UCSC to analyze the expression of DVL2 in lung cancer shows that DVL2 was overexpressed in lung adenocarcinoma tissues. Kaplan-Meier analysis shows that the higher DVL2 expression in lung cancer patients was associated with poorer overall survival and poorer survival in stage I patients. It was negatively correlated with the infiltration of various immune cells in the lung cancer microenvironment.
    Conclusion: FJSF may play a role in inhibiting the occurrence and development of lung cancer by downregulating the expression of DVL2 in A549 cells through its active ingredient Methyl Palmitate. These results provide scientific evidence for further investigations into the role of FJSF and Methyl Palmitate in the treatment of lung cancer.
    MeSH term(s) Humans ; Molecular Docking Simulation ; Network Pharmacology ; Phosphatidylinositol 3-Kinases ; Lung Neoplasms/drug therapy ; A549 Cells ; Drugs, Chinese Herbal/pharmacology ; Drugs, Chinese Herbal/therapeutic use ; Tumor Microenvironment
    Chemical Substances Phosphatidylinositol 3-Kinases (EC 2.7.1.-) ; Drugs, Chinese Herbal
    Language English
    Publishing date 2023-05-04
    Publishing country United Arab Emirates
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1304236-1
    ISSN 1873-4286 ; 1381-6128
    ISSN (online) 1873-4286
    ISSN 1381-6128
    DOI 10.2174/1381612829666230503164755
    Database MEDical Literature Analysis and Retrieval System OnLINE

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