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  1. Article ; Online: Immunotherapy and drug sensitivity predictive roles of a novel prognostic model in hepatocellular carcinoma.

    Gao, Xiaoge / Ren, Xin / Wang, Feitong / Ren, Xinxin / Liu, Mengchen / Cui, Guozhen / Liu, Xiangye

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 9509

    Abstract: Hepatocellular carcinoma (HCC) is one of the most significant causes of cancer-related deaths in the worldwide. Currently, predicting the survival of patients with HCC and developing treatment drugs still remain a significant challenge. In this study, we ...

    Abstract Hepatocellular carcinoma (HCC) is one of the most significant causes of cancer-related deaths in the worldwide. Currently, predicting the survival of patients with HCC and developing treatment drugs still remain a significant challenge. In this study, we employed prognosis-related genes to develop and externally validate a predictive risk model. Furthermore, the correlation between signaling pathways, immune cell infiltration, immunotherapy response, drug sensitivity, and risk score was investigated using different algorithm platforms in HCC. Our results showed that 11 differentially expressed genes including UBE2C, PTTG1, TOP2A, SPP1, FCN3, SLC22A1, ADH4, CYP2C8, SLC10A1, F9, and FBP1 were identified as being related to prognosis, which were integrated to construct a prediction model. Our model could accurately predict patients' overall survival using both internal and external datasets. Moreover, a strong correlation was revealed between the signaling pathway, immune cell infiltration, immunotherapy response, and risk score. Importantly, a novel potential drug candidate for HCC treatment was discovered based on the risk score and also validated through ex vivo experiments. Our finds offer a novel perspective on prognosis prediction and drug exploration for cancer patients.
    MeSH term(s) Carcinoma, Hepatocellular/drug therapy ; Carcinoma, Hepatocellular/genetics ; Carcinoma, Hepatocellular/mortality ; Carcinoma, Hepatocellular/immunology ; Carcinoma, Hepatocellular/pathology ; Liver Neoplasms/drug therapy ; Liver Neoplasms/genetics ; Liver Neoplasms/mortality ; Liver Neoplasms/pathology ; Liver Neoplasms/immunology ; Humans ; Immunotherapy/methods ; Prognosis ; Gene Expression Regulation, Neoplastic/drug effects ; Biomarkers, Tumor/genetics ; Drug Resistance, Neoplasm/genetics ; Signal Transduction/drug effects
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2024-04-25
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-59877-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Identification of the Diagnostic Biomarker VIPR1 in Hepatocellular Carcinoma Based on Machine Learning Algorithm.

    Ge, Song / Xu, Chen-Rui / Li, Yan-Ming / Zhang, Yu-Lin / Li, Na / Wang, Fei-Tong / Ding, Liang / Niu, Jian

    Journal of oncology

    2022  Volume 2022, Page(s) 2469592

    Abstract: The purpose of this study was to identify the potential diagnostic biomarkers in hepatocellular carcinoma (HCC) by machine learning (ML) and to explore the significance of immune cell infiltration in HCC. From GEO datasets, the microarray datasets of HCC ...

    Abstract The purpose of this study was to identify the potential diagnostic biomarkers in hepatocellular carcinoma (HCC) by machine learning (ML) and to explore the significance of immune cell infiltration in HCC. From GEO datasets, the microarray datasets of HCC patients were obtained and downloaded. Differentially expressed genes (DEGs) were screened from five datasets of GSE57957, GSE84402, GSE112790, GSE113996, and GSE121248, totalling 125 normal liver tissues and 326 HCC tissues. In order to find the diagnostic indicators of HCC, the LASSO regression and the SVM-RFE algorithms were utilized. The prognostic value of VIPR1 was analyzed. Finally, the difference of immune cell infiltration between HCC tissues and normal liver tissues was evaluated by CIBERSORT algorithm. In this study, a total of 232 DEGs were identified in 125 normal liver tissues and 326 HCC tissues. 11 diagnostic markers were identified by LASSO regression and SVM-RFE algorithms. FCN2, ECM1, VIRP1, IGFALS, and ASPG genes with AUC>0.85 were regarded as candidate biomarkers with high diagnostic value, and the above results were verified in GSE36376. Survival analyses showed that VIPR1 and IGFALS were significantly correlated with the OS, while ASPG, ECM1, and FCN2 had no statistical significance with the OS. Multivariate assays indicated that VIPR1 gene could be used as an independent prognostic factor for HCC, while FCN2, ECM1, IGFALS, and ASPG could not be used as independent prognostic factors for HCC. Immune cell infiltration analyses showed that the expression of VIPR1 in HCC was positively correlated with the levels of several immune cells. Overall, VIPR1 gene can be used as a diagnostic feature marker of HCC and may be a potential target for the diagnosis and treatment of liver cancer in the future.
    Language English
    Publishing date 2022-09-15
    Publishing country Egypt
    Document type Journal Article
    ZDB-ID 2461349-6
    ISSN 1687-8469 ; 1687-8450
    ISSN (online) 1687-8469
    ISSN 1687-8450
    DOI 10.1155/2022/2469592
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Relationship between the Body Mass Index and Tumor Site Postoperative Complications and Prognosis in Gastric Adenocarcinoma.

    Wang, Feitong / Liu, Xing / Mao, Ping / Meng, Qinghui / Zhang, Dan / Liu, Bin

    The American surgeon

    2018  Volume 84, Issue 12, Page(s) 1861–1868

    Abstract: The impact of BMI on survival in gastric cancer (GC) is not clear. We sought to explore the relationship between BMI and tumor site, clinicopathologic characteristics, postoperative complications, and prognosis in GC patients. Patients who underwent ... ...

    Abstract The impact of BMI on survival in gastric cancer (GC) is not clear. We sought to explore the relationship between BMI and tumor site, clinicopathologic characteristics, postoperative complications, and prognosis in GC patients. Patients who underwent gastrectomy for GC between January 2011 and June 2016 formed the study cohort (n = 827). Patients were divided into three groups according to the BMI (in kg/m²): "low" (<18.5), "normal" (18.5-24.9), and "high" (≥25.0). The preoperative level of albumin and hemoglobin in the low BMI group was lower than that in the high BMI or normal BMI group (
    MeSH term(s) Adenocarcinoma/blood ; Adenocarcinoma/mortality ; Adenocarcinoma/pathology ; Adenocarcinoma/surgery ; Adult ; Aged ; Aged, 80 and over ; Body Mass Index ; Female ; Gastrectomy/mortality ; Hemoglobins/analysis ; Humans ; Lymphatic Metastasis ; Male ; Middle Aged ; Neoplasm Invasiveness ; Neoplasm Staging ; Prognosis ; Risk Factors ; Serum Albumin/analysis ; Stomach/pathology ; Stomach/surgery ; Stomach Neoplasms/blood ; Stomach Neoplasms/mortality ; Stomach Neoplasms/pathology ; Stomach Neoplasms/surgery ; Young Adult
    Chemical Substances Hemoglobins ; Serum Albumin
    Language English
    Publishing date 2018-12-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 202465-2
    ISSN 1555-9823 ; 0003-1348
    ISSN (online) 1555-9823
    ISSN 0003-1348
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Epithelial mesenchymal transition correlates with CD24+CD44+ and CD133+ cells in pancreatic cancer.

    Zhang, Ye / Wei, Jishu / Wang, Hui / Xue, Xiaofeng / An, Yong / Tang, Dong / Yuan, Zhongxu / Wang, Feitong / Wu, Junli / Zhang, Jingjing / Miao, Yi

    Oncology reports

    2012  Volume 27, Issue 5, Page(s) 1599–1605

    Abstract: The epithelial-mesenchymal transition (EMT) has been linked to induction of a stem-cell like phenotype, characterized by altered cell surface marker expression and increased tumor formation. The aim of this study was to ... ...

    Abstract The epithelial-mesenchymal transition (EMT) has been linked to induction of a stem-cell like phenotype, characterized by altered cell surface marker expression and increased tumor formation. The aim of this study was to investigate whether EMT correlates with CD24+CD44+ and CD133+ cells in pancreatic cancer. The morphology of untreated and gemcitabine-treated SW1990 gemcitabine-resistant cells and normal SW1990 cells were compared. NF-κB p65 expression was knocked down using siRNA. Vimentin and E-cadherin expression were analyzed using western blotting, and CD24+CD44+, CD133+ cells were quantified by FACS. Additionally, immunohistochemistry of EMT-associated markers and stem cell-associated markers were performed in 41 cases of human pancreatic ductal adenocarcinoma. In SW1990 gemcitabine-resistant cells, gemcitabine induced a mesenchymal cell phenotype, expression of EMT-related molecular markers and increased CD24+CD44+ and CD133+ cells compared to untreated SW1990 gemcitabine-resistant and SW1990 cells. Knockdown of NF-κB p65 inhibited the ability of gemcitabine to increase the proportion of CD24+CD44+ or CD133+ cells and expression of EMT-related molecular markers. In human pancreatic ductal adenocarcinoma, significant correlations were observed between expression of the EMT-associated markers vimentin and E-cadherin, and stem cell-associated markers CD24, CD133 and CD44. This study demonstrated that EMT correlated with CD24+CD44+ and CD133+ cells in pancreatic cancer. This study also suggests that EMT may induce cancer stem-like cells in pancreatic cancer, with different degrees of EMT probability inducing different proportions of CD24+CD44+ and CD133+ cells.
    MeSH term(s) AC133 Antigen ; Antigens, CD/genetics ; Antigens, CD/metabolism ; Apoptosis/genetics ; CD24 Antigen/genetics ; CD24 Antigen/metabolism ; Cadherins/metabolism ; Carcinoma, Pancreatic Ductal/genetics ; Carcinoma, Pancreatic Ductal/metabolism ; Cell Line, Tumor ; Epithelial-Mesenchymal Transition/genetics ; Gene Silencing ; Glycoproteins/genetics ; Glycoproteins/metabolism ; Humans ; Hyaluronan Receptors/genetics ; Hyaluronan Receptors/metabolism ; Immunophenotyping ; Neoplasm Invasiveness/genetics ; Pancreatic Neoplasms/genetics ; Pancreatic Neoplasms/metabolism ; Peptides/genetics ; Peptides/metabolism ; Phenotype ; RNA, Small Interfering/metabolism ; Transcription Factor RelA/genetics ; Transcription Factor RelA/metabolism
    Chemical Substances AC133 Antigen ; Antigens, CD ; CD24 Antigen ; Cadherins ; Glycoproteins ; Hyaluronan Receptors ; PROM1 protein, human ; Peptides ; RNA, Small Interfering ; Transcription Factor RelA
    Language English
    Publishing date 2012-05
    Publishing country Greece
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1222484-4
    ISSN 1791-2431 ; 1021-335X
    ISSN (online) 1791-2431
    ISSN 1021-335X
    DOI 10.3892/or.2012.1681
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Expression and promoter methylation analysis of ATP-binding cassette genes in pancreatic cancer.

    Chen, Minyong / Xue, Xiaofeng / Wang, Feitong / An, Yong / Tang, Dong / Xu, Yue / Wang, Hui / Yuan, Zhongxu / Gao, Wentao / Wei, Jishu / Zhang, Jingjing / Miao, Yi

    Oncology reports

    2012  Volume 27, Issue 1, Page(s) 265–269

    Abstract: We investigated the relationship of ABCB1/MDR1, ABCC1/MRP1 and ABCG2/BCRP expression and promoter methylation with pancreatic cancer tumorigenesis and drug resistance. Gemcitabine-resistant pancreatic cancer cells, SW1990/GZ (33.3- ...

    Abstract We investigated the relationship of ABCB1/MDR1, ABCC1/MRP1 and ABCG2/BCRP expression and promoter methylation with pancreatic cancer tumorigenesis and drug resistance. Gemcitabine-resistant pancreatic cancer cells, SW1990/GZ (33.3-fold increased resistance), were obtained by treating SW1990 cells with gemcitabine. The expression of ABCB1/MDR1, ABCC1/MRP1 and ABCG2/BCRP was determined by quantitative real-time RT-PCR in the cell lines, 3 normal pancreatic tissues, 15 human pancreatic cancer samples and 15 adjacent tissues. Promoter methylation was determined in cell lines by bisulfite genomic sequencing. ABCB1/MDR1, ABCC1/MRP1 and ABCG2/BCRP were upregulated in SW1990 and SW1990/GZ compared with normal pancreatic tissue, and expression in SW1990/GZ was significantly higher than in SW1990 cells. ABCB1/MDR1, ABCC1/MRP1 and ABCG2/BCRP were upregulated in pancreatic cancer tissues, compared to adjacent tissues. The ABCB1/MDR1, ABCC1/MRP1 and ABCG2/BCRP promoter were hypomethylated in all the cell lines. ABCB1/MDR1, ABCC1/MRP1 and ABCG2/BCRP expression correlated with pancreatic cancer tumorigenesis and drug resistance in a mechanism that is independent of promoter methylation.
    MeSH term(s) ATP Binding Cassette Transporter, Sub-Family B ; ATP Binding Cassette Transporter, Sub-Family G, Member 2 ; ATP-Binding Cassette Transporters/genetics ; ATP-Binding Cassette, Sub-Family B, Member 1/genetics ; DNA Methylation ; Drug Resistance, Neoplasm/genetics ; Gene Expression Profiling ; Humans ; Multidrug Resistance-Associated Proteins/genetics ; Neoplasm Proteins/genetics ; Pancreatic Neoplasms/genetics ; Promoter Regions, Genetic ; Real-Time Polymerase Chain Reaction ; Reverse Transcriptase Polymerase Chain Reaction ; Up-Regulation
    Chemical Substances ABCB1 protein, human ; ABCG2 protein, human ; ATP Binding Cassette Transporter, Sub-Family B ; ATP Binding Cassette Transporter, Sub-Family G, Member 2 ; ATP-Binding Cassette, Sub-Family B, Member 1 ; Multidrug Resistance-Associated Proteins ; Neoplasm Proteins ; multidrug resistance-associated protein 1 (Y49M64GZ4Q)
    Language English
    Publishing date 2012-01
    Publishing country Greece
    Document type Journal Article
    ZDB-ID 1222484-4
    ISSN 1791-2431 ; 1021-335X
    ISSN (online) 1791-2431
    ISSN 1021-335X
    DOI 10.3892/or.2011.1475
    Database MEDical Literature Analysis and Retrieval System OnLINE

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