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   Articles with "driver genes" as a keyword



Association of Alterations in Main Driver Genes With Outcomes of Patients With Resected Pancreatic Ductal Adenocarcinoma

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recommendations! 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
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Alterations in driver genes are predictive of survival in patients with resected pancreatic ductal adenocarcinoma.

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recommendations! 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
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Cancer Driver Genes

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recommendations! 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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recommendations! Published in 2019 at "Breast Cancer Research and Treatment"

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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recommendations! Published in 2018 at "Cell"

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.

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recommendations! 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

Bioinformatics analyses of comorbid mechanisms between psoriasis and type 2 diabetes mellitus

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-20762-8

Abstract: Epidemiological association between psoriasis and T2DM suggests shared pathophysiology that are to be explored. Microarray expression profiles for psoriasis and T2DM were obtained from the Gene Expression Omnibus (GEO) database. The “limma” package in R… read more here.

Keywords: analysis; driver genes; expression; gene ... See more keywords

Privacy-Preserving Identification of Cancer Subtype-Specific Driver Genes Based on Multigenomics Data with Privatedriver

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recommendations! Published in 2024 at "Journal of Computational Biology"

DOI: 10.1089/cmb.2023.0115

Abstract: Identifying cancer subtype-specific driver genes from a large number of irrelevant passengers is crucial for targeted therapy in cancer treatment. Recently, the rapid accumulation of large-scale cancer genomics data from multiple institutions has presented remarkable… read more here.

Keywords: cancer; driver; driver genes; specific driver ... See more keywords

Two-stage-vote ensemble framework based on integration of mutation data and gene interaction network for uncovering driver genes

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recommendations! 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

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recommendations! 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.

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recommendations! 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