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  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  BMC Medical Imaging Vol. 23, No. 1 ( 2023-07-17)
    In: BMC Medical Imaging, Springer Science and Business Media LLC, Vol. 23, No. 1 ( 2023-07-17)
    Abstract: The indocyanine green retention rate at 15 min (ICG-R15) is a useful tool to evaluate the functional liver reserve before hepatectomy for liver cancer. Taking ICG-R15 as criteria, we investigated the ability of a machine learning (ML)-based radiomics model produced by Gd-EOB-DTPA-enhanced hepatic magnetic resonance imaging (MRI) or contrast-enhanced computed tomography (CT) image in evaluating functional liver reserve of hepatocellular carcinoma (HCC) patients. Methods A total of 190 HCC patients with CT, among whom 112 also with MR, were retrospectively enrolled and randomly classified into a training dataset (CT: n = 133, MR: n = 78) and a test dataset (CT: n = 57, MR: n = 34). Then, radiomics features from Gd-EOB-DTPA MRI and CT images were extracted. The features associated with the ICG-R15 classification were selected. Five ML classifiers were used for the ML-model investigation. The accuracy (ACC) and the area under curve (AUC) of receiver operating characteristic (ROC) with 95% confidence intervals (CI) were utilized for ML-model performance evaluation. Results A total of 107 different radiomics features were extracted from MRI and CT, respectively. The features related to ICG-R15 which was classified into 10%, 20% and 30% were selected. In MRI groups, classifier XGBoost performed best with its AUC = 0.917 and ACC = 0.882 when the threshold was set as ICG-R15 = 10%. When ICG-R15 = 20%, classifier Random Forest performed best with AUC = 0.979 and ACC = 0.882. When ICG-R15 = 30%, classifier XGBoost performed best with AUC = 0.961 and ACC = 0.941. For CT groups, the classifier XGBoost performed best when ICG-R15 = 10% with AUC = 0.822 and ACC = 0.842. When ICG-R15 = 20%, classifier SVM performed best with AUC = 0.860 and ACC = 0.842. When ICG-R15 = 30%, classifier XGBoost performed best with AUC = 0.938 and ACC = 0.965. Conclusions Both the MRI- and CT-based machine learning models are proved to be valuable noninvasive methods for functional liver reserve evaluation.
    Type of Medium: Online Resource
    ISSN: 1471-2342
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2061975-3
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  • 2
    Online Resource
    Online Resource
    Frontiers Media SA ; 2020
    In:  Frontiers in Cell and Developmental Biology Vol. 8 ( 2020-8-11)
    In: Frontiers in Cell and Developmental Biology, Frontiers Media SA, Vol. 8 ( 2020-8-11)
    Type of Medium: Online Resource
    ISSN: 2296-634X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2020
    detail.hit.zdb_id: 2737824-X
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  • 3
    In: Cancer Cell International, Springer Science and Business Media LLC, Vol. 23, No. 1 ( 2023-09-27)
    Abstract: Disulfidptosis is independent of apoptosis, ferroptosis, and cuproptosis and is associated with cancer progression, treatment response, and prognosis. However, the predictive potential of disulfidptosis-associated lncRNAs in colon adenocarcinoma (COAD) and their features in the tumor immune microenvironment (TIME) require further elucidation. Methods RNA transcriptome, clinical information, and mutation data of COAD samples were obtained from the TCGA database. The risk model was first constructed by co-expression analysis of disulfidptosis genes and lncRNAs, and prognostic lncRNAs were screened using Cox regression, followed by least absolute shrinkage and selection operator analysis. Enrichment analyses were performed to explore the underlying biological functions and signaling of model-associated differentially expressed genes (MADEGs). Moreover, TIME of MADEGs was analyzed to assess the immunotherapy. Finally, the expression levels of the lncRNAs were verified by taking specimens of patients with COAD from the Affiliated Hospital of Qingdao University. Results We constructed a prognosis-related risk model based on four disulfidptosis-associated lncRNAs (ZEB1-AS1, SNHG16, SATB2-AS1, and ALMS1-IT1). By analyzing the survival of patients in the whole, training, and test groups, we found that patients with COAD in the low-risk group had better overall survival than those in the high-risk group. Validation of the model via Cox analysis and clinical indicators demonstrated that the model had a decent potential for predicting the prognosis of patients with COAD. Enrichment analyses revealed that the MADEGs were related to disulfidptosis-associated biological functions and cancer pathways. Furthermore, patients with COAD in the high-risk group had more positive responses to immune checkpoint inhibitors (ICIs) than those in the low-risk group, as confirmed by TIME analysis. ZEB1-AS1, SNHG16, and ALMS1-IT1 were expressed at higher levels in tumor samples than those in the corresponding paracancerous samples ( p   〈  0.05), whereas SATB2-AS1 was upregulated in the paracancerous samples ( p   〈  0.05). Conclusions This signature may guide prognosis, molecular mechanisms, and treatment strategies, including ICIs and chemotherapy, in patients with COAD.
    Type of Medium: Online Resource
    ISSN: 1475-2867
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2091573-1
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  • 4
    In: Journal of Cellular and Molecular Medicine, Wiley, Vol. 25, No. 9 ( 2021-05), p. 4434-4443
    Abstract: Our previous studies have shown that the Adipose‐derived mesenchymal stem cells (ADSCs) can regulate metastasis and development of ovarian cancer. However, its specific mechanism has yet to be fully revealed. In this study, an RNA‐seq approach was adopted to compare the differences in mRNA levels in ovarian cancer cells being given or not given ADSCs. The mRNA level of paired box 8 (PAX8) changed significantly and was confirmed as an important factor in tumour‐inducing effect of ADSCs. In comparison with the ovarian cancer cells cultured in the common growth medium, those cultured in the medium supplemented with ADSCs showed a significant increase of the PAX8 level. Moreover, the cancer cell growth could be restricted, even in the ADSC‐treated group ( P   〈  .05), by inhibiting PAX8. In addition, an overexpression of PAX8 could elevate the proliferation of ovarian cancer cells. Moreover, Co‐IP assays in ovarian cancer cells revealed that an interaction existed between endogenous PAX8 and TAZ. And the PAX8 levels regulated the degradation of TAZ. The bioluminescence images captured in vivo manifested that the proliferation and the PAX8 expression level in ovarian cancers increased in the ADMSC‐treated group, and the effect of ADSCs in promoting tumours was weakened through inhibiting PAX8. Our findings indicate that the PAX8 expression increment could contribute a role in promoting the ADSC‐induced ovarian cancer cell proliferation through TAZ stability regulation.
    Type of Medium: Online Resource
    ISSN: 1582-1838 , 1582-4934
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2076114-4
    detail.hit.zdb_id: 2074559-X
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  • 5
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Oncology Vol. 12 ( 2022-3-7)
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 12 ( 2022-3-7)
    Abstract: To explore a new model to predict the prognosis of liver cancer based on MRI and CT imaging data. Methods A retrospective study of 103 patients with histologically proven hepatocellular carcinoma (HCC) was conducted. Patients were randomly divided into training (n = 73) and validation (n = 30) groups. A total of 1,217 radiomics features were extracted from regions of interest on CT and MR images of each patient. Univariate Cox regression, Spearman’s correlation analysis, Pearson’s correlation analysis, and least absolute shrinkage and selection operator Cox analysis were used for feature selection in the training set, multivariate Cox proportional risk models were established to predict disease-free survival (DFS) and overall survival (OS), and the models were validated using validation cohort data. Multimodal radiomics scores, integrating CT and MRI data, were applied, together with clinical risk factors, to construct nomograms for individualized survival assessment, and calibration curves were used to evaluate model consistency. Harrell’s concordance index (C-index) values were calculated to evaluate the prediction performance of the models. Results The radiomics score established using CT and MR data was an independent predictor of prognosis (DFS and OS) in patients with HCC ( p & lt; 0.05). Prediction models illustrated by nomograms for predicting prognosis in liver cancer were established. Integrated CT and MRI and clinical multimodal data had the best predictive performance in the training and validation cohorts for both DFS [(C-index (95% CI): 0.858 (0.811–0.905) and 0.704 (0.563–0.845), respectively)] and OS [C-index (95% CI): 0.893 (0.846–0.940) and 0.738 (0.575–0.901), respectively] . The calibration curve showed that the multimodal radiomics model provides greater clinical benefits. Conclusion Multimodal (MRI/CT) radiomics models can serve as effective visual tools for predicting prognosis in patients with liver cancer. This approach has great potential to improve treatment decisions when applied for preoperative prediction in patients with HCC.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2649216-7
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  • 6
    In: Cell & Bioscience, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2021-12)
    Abstract: Trophoblast dysfunction during pregnancy is fundamentally involved in preeclampsia. Several studies have revealed that human chorionic villous mesenchymal stem cells (CV-MSCs) could regulate trophoblasts function. Results To understand how human chorionic villous mesenchymal stem cells (CV-MSCs) regulate trophoblast function, we treated trophoblasts with CV-MSC supernatant under hypoxic conditions. Treatment markedly enhanced proliferation and invasion and augmented autophagy. Transcriptome and pathway analyses of trophoblasts before and after treatment revealed JAK2/STAT3 signalling as an upstream regulator. In addition, STAT3 mRNA and protein levels increased during CV-MSC treatment. Consistent with these findings, JAK2/STAT3 signalling inhibition reduced the autophagy, survival and invasion of trophoblasts, even in the presence of CV-MSCs, and blocking autophagy did not affect STAT3 activation in trophoblasts treated with CV-MSCs. Importantly, STAT3 overexpression increased autophagy levels in trophoblasts; thus, it positively regulated autophagy in hypoxic trophoblasts. Human placental explants also proved our findings by showing that STAT3 was activated and that LC3B-II levels were increased by CV-MSC treatment. Conclusion In summary, our data suggest that CV-MSC-dependent JAK2/STAT3 signalling activation is a prerequisite for autophagy upregulation in trophoblasts. Graphic abstract
    Type of Medium: Online Resource
    ISSN: 2045-3701
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2593367-X
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  • 7
    Online Resource
    Online Resource
    Ivyspring International Publisher ; 2020
    In:  Theranostics Vol. 10, No. 18 ( 2020), p. 8250-8263
    In: Theranostics, Ivyspring International Publisher, Vol. 10, No. 18 ( 2020), p. 8250-8263
    Type of Medium: Online Resource
    ISSN: 1838-7640
    Language: English
    Publisher: Ivyspring International Publisher
    Publication Date: 2020
    detail.hit.zdb_id: 2592097-2
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  • 8
    In: Cellular Oncology, Springer Science and Business Media LLC, Vol. 44, No. 6 ( 2021-12), p. 1351-1361
    Type of Medium: Online Resource
    ISSN: 2211-3428 , 2211-3436
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2595105-1
    detail.hit.zdb_id: 2595109-9
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  • 9
    Online Resource
    Online Resource
    SAGE Publications ; 2021
    In:  Journal of International Medical Research Vol. 49, No. 12 ( 2021-12), p. 030006052110546-
    In: Journal of International Medical Research, SAGE Publications, Vol. 49, No. 12 ( 2021-12), p. 030006052110546-
    Abstract: Hepatoblastoma is the most common liver tumor. Recent research has found that long non-coding (lnc)RNAs are involved in multiple types of cancers, but the potential mechanism of lncRNA MIR210HG in hepatoblastoma remains unknown. The present study explored the molecular mechanism of MIR210HG in hepatoblastoma progression. Methods The cell counting kit-8 was used to detect cell viability, and Transwell assays assessed cell migration and invasion. Luciferase reporter assays showed the relationship between MIR210HG and microRNA (miR)-608 and between miR-608 and forkhead box O6 (FOXO6). Functional tests were verified in vivo by a tumor xenograft model. The expression of MIR210HG, miR-608, FOXO6, E-cadherin, N-cadherin, and vimentin was determined by quantitative reverse transcription polymerase chain reaction and western blotting. Results MIR210HG was shown to be highly expressed in hepatoblastoma tissues and cell lines. Knockdown of MIR210HG reduced proliferation, migration, and invasion in liver cancer cells, and suppressed tumor growth in vivo. MIR210HG competitively combined with miR-608, and miR-608 decreased FOXO6 expression. Conclusion Our study demonstrated that knockdown of MIR210HG inhibits hepatoblastoma development through binding to miR-608 and downregulating FOXO6. Our results provide novel insights for hepatoblastoma treatment involving the MIR210HG–miR608–FOXO6 axis.
    Type of Medium: Online Resource
    ISSN: 0300-0605 , 1473-2300
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 184023-X
    detail.hit.zdb_id: 2082422-1
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  • 10
    In: Journal of Hepatocellular Carcinoma, Informa UK Limited, Vol. Volume 11 ( 2024-04), p. 679-691
    Type of Medium: Online Resource
    ISSN: 2253-5969
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2024
    detail.hit.zdb_id: 2780784-8
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