Association of Alterations in Main Driver Genes With Outcomes of Patients With Resected Pancreatic Ductal Adenocarcinoma
Sign Up to like & getrecommendations! Published in 2018 at "JAMA Oncology"
DOI: 10.1001/jamaoncol.2017.3420
Abstract: Importance Although patients with resected pancreatic adenocarcinoma are at high risk for disease recurrence, few biomarkers are available to inform patient outcomes. Objective To evaluate the alterations of the 4 main driver genes in pancreatic… read more here.
Keywords: patients resected; driver genes; resected pancreatic; pancreatic adenocarcinoma ... See more keywords
Alterations in driver genes are predictive of survival in patients with resected pancreatic ductal adenocarcinoma.
Sign Up to like & getrecommendations! Published in 2020 at "Cancer"
DOI: 10.1002/cncr.33038
Abstract: BACKGROUND KRAS, TP53, CDKN2A, and SMAD4 are established driver genes in pancreatic ductal adenocarcinoma (PDAC). This study was aimed at determining whether the mutational status of driver genes and those involved in DNA repair pathways… read more here.
Keywords: patients resected; driver genes; months months; pancreatic ductal ... See more keywords
Cancer Driver Genes
Sign Up to like & getrecommendations! Published in 2019 at "Anticancer research"
DOI: 10.1007/978-1-4939-8967-6
Abstract: Cancer is a complex disease that originates from genetic changes leading to multiple phenotypic manifestations that ultimately result in suffering and death from cancer. Attempts have been made to define the phenotypic and genetic “hallmarks”… read more here.
Keywords: medicine; driver genes; etiology; cancer driver ... See more keywords
Revealing clonality and subclonality of driver genes for clinical survival benefits in breast cancer
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DOI: 10.1007/s10549-019-05153-8
Abstract: PurposeGenomic studies have revealed that genomic aberrations play important roles in the progression of this disease. The aim of this study was to evaluate the associations between clinical survival outcomes of the clonality and subclonality… read more here.
Keywords: clonality; driver genes; survival; breast cancer ... See more keywords
Comprehensive Characterization of Cancer Driver Genes and Mutations
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DOI: 10.1016/j.cell.2018.02.060
Abstract: Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced algorithms to identify drivers now exist, but systematic attempts to combine and optimize them on large datasets are few. We report a PanCancer and… read more here.
Keywords: driver genes; driver; comprehensive characterization; characterization cancer ... See more keywords
Genomic characterization of biliary tract cancers identifies driver genes and predisposing mutations.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of hepatology"
DOI: 10.1016/j.jhep.2018.01.009
Abstract: BACKGROUND & AIMS Biliary tract cancers (BTCs) are clinically and pathologically heterogeneous and respond poorly to treatment. Genomic profiling can offer a clearer understanding of their carcinogenesis, classification and treatment strategy. We performed large-scale genome… read more here.
Keywords: biliary tract; driver genes; origin; tract cancers ... See more keywords
Two-stage-vote ensemble framework based on integration of mutation data and gene interaction network for uncovering driver genes
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab429
Abstract: Identifying driver genes, exactly from massive genes with mutations, promotes accurate diagnosis and treatment of cancer. In recent years, a lot of works about uncovering driver genes based on integration of mutation data and gene… read more here.
Keywords: gene interaction; mutation; vote; driver ... See more keywords
Comprehensive evaluation of computational methods for predicting cancer driver genes
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbab548
Abstract: Abstract Optimal methods could effectively improve the accuracy of predicting and identifying candidate driver genes. Various computational methods based on mutational frequency, network and function approaches have been developed to identify mutation driver genes in… read more here.
Keywords: network; driver; frequency; driver genes ... See more keywords
A novel heterophilic graph diffusion convolutional network for identifying cancer driver genes.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad137
Abstract: Identifying cancer driver genes plays a curial role in the development of precision oncology and cancer therapeutics. Although a plethora of methods have been developed to tackle this problem, the complex cancer mechanisms and intricate… read more here.
Keywords: driver; graph diffusion; driver genes; identifying cancer ... See more keywords
Prediction of cancer driver genes through network-based moment propagation of mutation scores
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaa452
Abstract: Abstract Motivation Gaining a comprehensive understanding of the genetics underlying cancer development and progression is a central goal of biomedical research. Its accomplishment promises key mechanistic, diagnostic and therapeutic insights. One major step in this… read more here.
Keywords: driver genes; network; cancer driver; cancer ... See more keywords
Driver gene detection through Bayesian network integration of mutation and expression profiles
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac203
Abstract: MOTIVATION The identification of mutated driver genes and the corresponding pathways is one of the primary goals in understanding tumorigenesis at the patient level. Integration of multidimensional genomic data from existing repositories, e.g., The Cancer… read more here.
Keywords: network; integration; driver genes; gene ... See more keywords