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• W3048235850 endingPage "9852" @default.
• W3048235850 startingPage "9839" @default.
• W3048235850 abstract "Abstract Ovarian cancer is the most lethal gynaecological cancer, and resistance of platinum‐based chemotherapy is the main reason for treatment failure. The aim of the present study was to identify candidate genes involved in ovarian cancer platinum response by analysing genes from homologous recombination and Fanconi anaemia pathways. Associations between these two functional genes were explored in the study, and we performed a random walk algorithm based on reconstructed gene‐gene network, including protein‐protein interaction and co‐expression relations. Following the random walk, all genes were ranked and GSEA analysis showed that the biological functions focused primarily on autophagy, histone modification and gluconeogenesis. Based on three types of seed nodes, the top two genes were utilized as examples. We selected a total of six candidate genes (FANCA, FANCG, POLD1, KDM1A, BLM and BRCA1) for subsequent verification. The validation results of the six candidate genes have significance in three independent ovarian cancer data sets with platinum‐resistant and platinum‐sensitive information. To explore the correlation between biomarkers and clinical prognostic factors, we performed differential analysis and multivariate clinical subgroup analysis for six candidate genes at both mRNA and protein levels. And each of the six candidate genes and their neighbouring genes with a mutation rate greater than 10% were also analysed by network construction and functional enrichment analysis. In the meanwhile, the survival analysis for platinum‐treated patients was performed in the current study. Finally, the RT‐qPCR assay was used to determine the performance of candidate genes in ovarian cancer platinum response. Taken together, this research demonstrated that comprehensive bioinformatics methods could help to understand the molecular mechanism of platinum response and provide new strategies for overcoming platinum resistance in ovarian cancer treatment." @default.
• W3048235850 created "2020-08-13" @default.
• W3048235850 creator A5018503742 @default.
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• W3048235850 creator A5067205668 @default.
• W3048235850 date "2020-08-06" @default.
• W3048235850 modified "2023-09-23" @default.
• W3048235850 title "The identification of six risk genes for ovarian cancer platinum response based on global network algorithm and verification analysis" @default.
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• W3048235850 cites W1639113761 @default.
• W3048235850 cites W1653899755 @default.
• W3048235850 cites W1960327677 @default.
• W3048235850 cites W1970079499 @default.
• W3048235850 cites W1977598208 @default.
• W3048235850 cites W1983024646 @default.
• W3048235850 cites W1986910874 @default.
• W3048235850 cites W1986947222 @default.
• W3048235850 cites W1987572677 @default.
• W3048235850 cites W1994195407 @default.
• W3048235850 cites W1997934415 @default.
• W3048235850 cites W2008637251 @default.
• W3048235850 cites W2016357039 @default.
• W3048235850 cites W2029893817 @default.
• W3048235850 cites W2035618305 @default.
• W3048235850 cites W2072392569 @default.
• W3048235850 cites W2079849392 @default.
• W3048235850 cites W2082668371 @default.
• W3048235850 cites W2089182095 @default.
• W3048235850 cites W2090968329 @default.
• W3048235850 cites W2111817213 @default.
• W3048235850 cites W2114843025 @default.
• W3048235850 cites W2119220491 @default.
• W3048235850 cites W2121300496 @default.
• W3048235850 cites W2123325948 @default.
• W3048235850 cites W2127808743 @default.
• W3048235850 cites W2131752445 @default.
• W3048235850 cites W2132244795 @default.
• W3048235850 cites W2137970587 @default.
• W3048235850 cites W2138242793 @default.
• W3048235850 cites W2145606954 @default.
• W3048235850 cites W2154885792 @default.
• W3048235850 cites W2155098031 @default.
• W3048235850 cites W2159979213 @default.
• W3048235850 cites W2160612217 @default.
• W3048235850 cites W2168970170 @default.
• W3048235850 cites W2179105349 @default.
• W3048235850 cites W2208509859 @default.
• W3048235850 cites W2277076815 @default.
• W3048235850 cites W2311746741 @default.
• W3048235850 cites W2320695259 @default.
• W3048235850 cites W2329277323 @default.
• W3048235850 cites W2404796436 @default.
• W3048235850 cites W2428683336 @default.
• W3048235850 cites W2548136543 @default.
• W3048235850 cites W2553428876 @default.
• W3048235850 cites W2557885712 @default.
• W3048235850 cites W2567947578 @default.
• W3048235850 cites W2626041519 @default.
• W3048235850 cites W2627871710 @default.
• W3048235850 cites W2736730167 @default.
• W3048235850 cites W2740636419 @default.
• W3048235850 cites W2754850432 @default.
• W3048235850 cites W2757586983 @default.
• W3048235850 cites W2782949733 @default.
• W3048235850 cites W2784483500 @default.
• W3048235850 cites W2792164419 @default.
• W3048235850 cites W2793442901 @default.
• W3048235850 cites W2807128584 @default.
• W3048235850 cites W2885846020 @default.
• W3048235850 cites W2889028749 @default.
• W3048235850 cites W2899094752 @default.
• W3048235850 cites W2908832432 @default.
• W3048235850 cites W2912767212 @default.
• W3048235850 cites W2915943221 @default.
• W3048235850 cites W2922229918 @default.
• W3048235850 cites W2938269214 @default.
• W3048235850 cites W2943977465 @default.
• W3048235850 cites W2959887563 @default.
• W3048235850 cites W2966972050 @default.
• W3048235850 cites W2998065525 @default.
• W3048235850 cites W3000964475 @default.
• W3048235850 cites W3010905088 @default.
• W3048235850 cites W3013492213 @default.
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• W3048235850 doi "https://doi.org/10.1111/jcmm.15567" @default.
• W3048235850 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7520306" @default.
• W3048235850 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32762026" @default.
• W3048235850 hasPublicationYear "2020" @default.
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