Rationale and Roadmap for Developing Panels of Hotspot Cancer Driver Gene Mutations as Biomarkers of Cancer Risk
Sign Up to like & getrecommendations! Published in 2019 at "Environmental and Molecular Mutagenesis"
DOI: 10.1002/em.22326
Abstract: Cancer driver mutations (CDMs) are necessary and causal for carcinogenesis and have advantages as reporters of carcinogenic risk. However, little progress has been made toward developing measurements of CDMs as biomarkers for use in cancer… read more here.
Keywords: risk; cancer risk; cancer driver; cancer ... See more keywords
A cross‐sectional study of the FDA approved indications and supporting pivotal trials of small‐molecular kinase inhibitors in cancer therapies with the biomarker of cancer driver gene
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Cancer"
DOI: 10.1002/ijc.34222
Abstract: Cancer precision medicine with biomarker of cancer driver gene (CDG) has been achieved by many small‐molecular kinase inhibitors (SMKIs) approved by the US Food and Drug Administration (FDA). Publicly available FDA documents were collected for… read more here.
Keywords: driver gene; biomarker; small molecular; biomarker cancer ... 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
Using Drosophila Models and Tools to Understand the Mechanisms of Novel Human Cancer Driver Gene Function.
Sign Up to like & getrecommendations! Published in 2019 at "Advances in experimental medicine and biology"
DOI: 10.1007/978-3-030-23629-8_2
Abstract: The formation, overgrowth and metastasis of tumors comprise a complex series of cellular and molecular events resulting from the combined effects of a variety of aberrant signaling pathways, mutations, and epigenetic alterations. Modeling this complexity… read more here.
Keywords: drosophila models; models tools; using drosophila; cancer driver ... See more keywords
Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks.
Sign Up to like & getrecommendations! Published in 2020 at "Molecular cell"
DOI: 10.1016/j.molcel.2019.12.027
Abstract: A comprehensive catalog of cancer driver mutations is essential for understanding tumorigenesis and developing therapies. Exome-sequencing studies have mapped many protein-coding drivers, yet few non-coding drivers are known because genome-wide discovery is challenging. We developed… read more here.
Keywords: cancer driver; long range; cancer; driver mutations ... See more keywords
Dynamic cancer drivers: a causal approach for cancer driver discovery based on bio-pathological trajectories.
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in functional genomics"
DOI: 10.1093/bfgp/elac030
Abstract: The traditional way for discovering genes which drive cancer (namely cancer drivers) neglects the dynamic information of cancer development, even though it is well known that cancer progresses dynamically. To enhance cancer driver discovery, we… read more here.
Keywords: driver; cancer drivers; cancer driver; dynamic cancer ... 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
MODIG: integrating multi-omics and multi-dimensional gene network for cancer driver gene identification based on graph attention network model
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac622
Abstract: MOTIVATION Identifying genes that play a causal role in cancer evolution remains one of the biggest challenges in cancer biology. With the accumulation of high-throughput multi-omics data over decades, it becomes a great challenge to… read more here.
Keywords: network; multi omics; multi dimensional; cancer driver ... See more keywords
Transmicron: accurate prediction of insertion probabilities improves detection of cancer driver genes from transposon mutagenesis screens
Sign Up to like & getrecommendations! Published in 2023 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkac1215
Abstract: Abstract Transposon screens are powerful in vivo assays used to identify loci driving carcinogenesis. These loci are identified as Common Insertion Sites (CISs), i.e. regions with more transposon insertions than expected by chance. However, the… read more here.
Keywords: insertion; driver genes; cancer driver; cancer ... See more keywords