The genetics and genomics of cancer
By Allan Balmain, Joe W. Gray, Bruce A. J. Ponder. 2003
623 citations recorded by the source corpus.
Subfields: Cancer Research, Molecular Biology, Oncology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cancer Research
- Alexander R. Statnikov
- Constantin F. Aliferis
- Charles M. Perou
- David Craft
- David Krane
- A. Ullrich
- K. Strebhardt
In Molecular Biology
- Alexander R. Statnikov
- Constantin F. Aliferis
- Ioannis Tsamardinos
- Charles M. Perou
- Scott Shenker
- John N. Weinstein
- J. Ludwig
- Min Zhao
In Oncology
Citations in the corpus
- Simulation-assisted machine learning (2018, positive): “Genomics is especially relevant for computing the similarity between two cancer patients since cancer is associated with alterations to the DNA, which in turn causes the dysregulation of cellular behavior (Balmain et al., 2003).”
- TSGene 2.0: an updated literature-based knowledgebase for tumor suppressor genes (2015, background): “It often arises from two types of genetic alterations related to the cell proliferation, differentiation, apoptosis and cell-to-cell communication (2,3): the loss-of-function of tumor suppressor genes (TSGs) and the gain-of-function of oncogenes (OCGs).”
- Allele-specific copy number analysis of tumors (2010, background): “Cancer genomes are characterized by numerous sequence changes compared with their normal host counterparts, ranging in size from single base changes (point mutations) to insertions or deletions of large chromosomal fragments and even whole-genome duplications (1, 2).”
- Biomarkers in Cancer Staging, Prognosis and Treatment Selection (2005, background): “gov/cancertopics/types/leukemia">leukaemia (CML) with imatinib, and KIT or platelet-derived growth factor receptor-α (PDGFRA) positivity for treatment of gastrointestinal stromal tumours (GIST) with imatini”
- TSGene: a web resource for tumor suppressor genes (2012, background): “Cancer is characterized by uncontrolled cell growth that arises from the progressive acquisition of a small number of point mutations or aneuploidy related to cell proliferation, differentiation, apoptosis and cell-to-cell communication (1,2).”
- Common variants on chromosomes 2q35 and 16q12 confer susceptibility to estrogen receptor–positive breast cancer (2007, background): “Mutations in breast cancer susceptibility genes BRCA1 and BRCA2 account for 15%–25% of the familial component of breast cancer ris”
- Review on metal nanoparticles as nanocarriers: current challenges and perspectives in drug delivery systems (2022, background): “The (AgNPs) have proven promising anti-cancer effects [147].”
- High-throughput DNA methylation profiling using universal bead arrays. (2006, background): “…measurement of multiple targets to improve assay specificity; (3) easy amplification of assay products to achieve high sensitivity; and (4) the ability to detect a positive signal in tumors that arises from methylation inactivation of one allele of tumor-suppressor genes (Balmain et al. 2003).”
- Faster and More Accurate Sequence Alignment with SNAP (2011, background): “Additionally, human cancer cells often contain a host of anomalies [3], including important base substitutions and short indels.”
- GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data (2005, background): “Furthermore , biomarker discovery in high-dimensional microarray data facilitates learning about the biology of cancer [2].”