Results 1 to 10 of about 277,677 (243)

Long non-coding RNA FAM87A is associated with overall survival and promotes cell migration and invasion in gastric cancer

Frontiers in Oncology
BackgroundThe role of long non-coding RNAs (lncRNAs) in the invasion and metastasis of gastric cancer remains largely unclear.MethodsIntegrating transcriptome data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases ...
Xue Jiang, Xue Jiang, Xiaobin Wu, Manjiao Lu, Wenna Fan, Jing Song, Fangzhou Song   +6 more
doaj   +2 more sources

Progenetix: 12 years of oncogenomic data curation [PDF]

arXiv, 2013
DNA copy number aberrations (CNAs) can be found in the majority of cancer genomes, and are crucial for understanding the potential mechanisms underlying tumor initiation and progression. Since the first release in 2001, the Progenetix project (http://www.progenetix.org) has provided a reference resource dedicated to provide the most comprehensive ...
arxiv  

Genetic profiling of rat gliomas and cardiac schwannomas from life-time radiofrequency radiation exposure study using a targeted next-generation sequencing gene panel.

PLoS ONE
The cancer hazard associated with lifetime exposure to radiofrequency radiation (RFR) was examined in Sprague Dawley (SD) rats at the Ramazzini Institute (RI), Italy. There were increased incidences of gliomas and cardiac schwannomas.
Ashley M Brooks, Andrea Vornoli, Ramesh C Kovi, Thai Vu T Ton, Miaofei Xu, Ahmed Mashal, Eva Tibaldi, Federica Gnudi, Jian-Liang Li, Robert C Sills, John R Bucher, Daniele Mandrioli, Fiorella Belpoggi, Arun R Pandiri   +13 more
doaj   +1 more source

DLSOM: A Deep learning-based strategy for liver cancer subtyping [PDF]

arXiv
Liver cancer is a leading cause of cancer-related mortality worldwide, with its high genetic heterogeneity complicating diagnosis and treatment. This study introduces DLSOM, a deep learning framework utilizing stacked autoencoders to analyze the complete somatic mutation landscape of 1,139 liver cancer samples, covering 20,356 protein-coding genes.
arxiv  

In silico evaluation of missense SNPs in cancer-associated Cystatin A protein and their potential to disrupt Cathepsin B interaction

Heliyon
Cystatin A (CSTA) functions as a cysteine protease inhibitor by forming tight complexes with the cathepsins. Pathogenic mutations in the CSTA gene can disrupt this interaction, potentially leading to physiological ailments.
Shafaat Hossain, Omar Hamza Bin Manjur, Mst Sharmin Sultana Shimu, Tamanna Sultana, Mustafizur Rahman Naim, Shahariar Siddique, Abdullah Al Mamun, Md Miftaur Rahman, Md Abu Saleh, Md Rakibul Hasan, Tania Rahman   +10 more
doaj  

COSMIC: a curated database of somatic variants and clinical data for cancer [PDF]

Nucleic Acids Research, 2023
Abstract The Catalogue Of Somatic Mutations In Cancer (COSMIC), https://cancer.sanger.ac.uk/cosmic, is an expert-curated knowledgebase providing data on somatic variants in cancer, supported by a comprehensive suite of tools for interpreting genomic data, discerning the impact of somatic alterations on disease, and facilitating ...
Zbyslaw Sondka, Nidhi Bindal Dhir, Denise Carvalho-Silva, Steven Jupe, null Madhumita, Karen McLaren, Mike Starkey, Sari Ward, Jennifer Wilding, Madiha Ahmed, Joanna Argasinska, David Beare, Manpreet Singh Chawla, Stephen Duke, Ilaria Fasanella, Avirup Guha Neogi, Susan Haller, Balazs Hetenyi, Leonie Hodges, Alex Holmes, Rachel Lyne, Thomas Maurel, Sumodh Nair, Helder Pedro, Amaia Sangrador-Vegas, Helen Schuilenburg, Zoe Sheard, Siew Yit Yong, Jon Teague   +28 more
semanticscholar   +4 more sources

COSMIC Cancer Gene Census 3D database: understanding the impacts of mutations on cancer targets [PDF]

Briefings in Bioinformatics, 2021
AbstractMutations in hallmark genes are believed to be the main drivers of cancer progression. These mutations are reported in the Catalogue of Somatic Mutations in Cancer (COSMIC). Structural appreciation of where these mutations appear, in protein–protein interfaces, active sites or deoxyribonucleic acid (DNA) interfaces, and predicting the impacts ...
Alsulami, Ali F, Torres, Pedro HM, Moghul, Ismail, Arif, Sheikh Mohammed, Chaplin, Amanda K, Vedithi, Sundeep Chaitanya, Blundell, Tom L   +6 more
semanticscholar   +7 more sources

The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website [PDF]

British Journal of Cancer, 2004
The discovery of mutations in cancer genes has advanced our understanding of cancer. These results are dispersed across the scientific literature and with the availability of the human genome sequence will continue to accrue. The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website have been developed to store somatic mutation data in
Simon A. Forbes, Sally Bamford, Michael R. Stratton, Jody Clements, P A Futreal, Roger Pettett, Richard Wooster, Adrienne M. Flanagan, Jon W. Teague, Ahmet Dogan, Elisabeth Dawson   +10 more
semanticscholar   +5 more sources

A first RDF implementation of the COSMIC database on mutations in cancer

EMBnet.journal, 2012
Motivation and Objectives Within a living organism, genome and proteome variations may influence many molecular interactions and biochemical pathways, leading to deleterious effects in the proper activity of cells, tissues, and organs; ultimately, this may be the cause of many syndromes and diseases.
Achille Zappa, Paolo Romano
semanticscholar   +8 more sources

Predictive Modeling of Novel Somatic Mutation Impacts on Cancer Prognosis: A Machine Learning Approach Using the COSMIC Database [PDF]

medRxiv
Abstract Background Somatic mutations play a crucial role in cancer initiation, progression, and treatment response. While high-throughput sequencing has vastly expanded our understanding of cancer genomics, interpreting the functional impact of novel somatic mutations remains challenging. Machine learning approaches show promise in predicting mutation
Masab Mansoor
semanticscholar   +3 more sources