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Keywords: survival analysis
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Biosci Rep (2021) 41 (5): BSR20204148.
Published: 27 May 2021
... most connected hub genes. The Cancer Genome Atlas (TCGA) data visualization web-tool, GEPIA ( http://gepia.cancerpku.cn ), interactively analyzes cancer-related and normal genes [ 11 ]. In the present study, we used GEPIA for expression and survival analysis to evaluate the prognostic value...
Articles
Biosci Rep (2021) 41 (4): BSR20210280.
Published: 16 April 2021
... with that in paracancerous tissues in CRC patients, HCT116 xenograft, and RKO xenograft. High NLRP3 level correlated with the advanced TNM classification of malignant tumors, the occurrence of distant metastasis, vascular invasion, and positive lymph nodes. Furthermore, Kaplan–Meier survival analysis revealed that a high...
Articles
Biosci Rep (2021) 41 (1): BSR20200869.
Published: 06 January 2021
... by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) . bioinformatics analysis DEGs non-TNBC survival analysis TNBC Breast cancer (BC) is the most common malignant disease worldwide and remains a major...
Includes: Supplementary data
Articles
Biosci Rep (2021) 41 (1): BSR20201920.
Published: 05 January 2021
... include differential expression analysis, survival analysis, correlation analysis, profiling plotting, similar gene detection, and dimensionality reduction analysis [ 36 ]. Remarkably, this interactive web server includes 33 malignant tumors for users to explore interested information. In the present...
Includes: Supplementary data
Articles
Biosci Rep (2019) 39 (12): BSR20192590.
Published: 20 December 2019
... Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) . osteosarcoma prognosis red cell distribution width Survival analysis Osteosarcoma is the most common primary malignant bone tumor so far. It originates from mesenchymal tissue and has a higher incidence...
Articles
Biosci Rep (2019) 39 (4): BSR20190083.
Published: 02 April 2019
... that the up-regulated genes: FN1, SDC4, NMU, LPAR5 and the down-regulated genes: BCL2 and CXCL12 were key genes. Survival analysis indicated that the high expression of FN1 and NMU genes significantly decreased disease-free survival of patients with thyroid carcinoma. In conclusion, the genes and pathways...
Includes: Supplementary data
Articles
Biosci Rep (2019) 39 (2): BSR20181845.
Published: 22 February 2019
...), and lysophosphatidic acid receptor 3 (LPAR3) were hub nodes. CDK1 interacting with PLK1 and FOS, and LPAR3 interacting with FOS and SAA1 were found in the PPI network. Amongst the 40 network modules, 4 modules were with scores not less than 10. Survival analysis showed that anterior gradient 2 ( AGR2 ) and RLN3 could...
Articles
Biosci Rep (2019) 39 (1): BSR20181293.
Published: 03 January 2019
... based on gene expression profiles from GSE32018, GSE56315, and The Cancer Genome Atlas (TCGA) DLBC. Overlapping DEGs were then evaluated for gene ontology (GO), pathways enrichment, DNA methylation, protein–protein interaction (PPI) network analysis as well as survival analysis. Seventy-four up...
Articles
Biosci Rep (2018) 38 (6): BSR20181441.
Published: 09 November 2018
... pathway, and valine, leucine and isoleucine degradation pathway. PPI network analysis showed that CDK1, CCNB1, CCNB2, MAD2L1, ACACB, IGF1, TOP2A , and EHHADH were crucial genes. Survival analysis suggested that the high expression of CDK1, CCNB1, CCNB2, MAD2L1 , and TOP2A significantly decreased...
Articles
Biosci Rep (2018) 38 (4): BSR20180580.
Published: 03 July 2018
... of the Defense Technical Information Center, supplemented with 10% fetal bovine serum (Gibco, Life Technology, Vienna, Austria) and 1% penicillin/streptomycin in a humidified 5% (v/v) atmosphere of CO 2 at 37°C. Colorectal cancer Chemokine (C-X-C motif) ligand 1 Glycolysis Survival analysis Warburg...