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Träfflista för sökning "WFRF:(Sukumar Saraswati) "

Sökning: WFRF:(Sukumar Saraswati)

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1.
  • Jiao, Xiang, et al. (författare)
  • Somatic mutations in the notch, NF-KB, PIK3CA, and hedgehog pathways in human breast cancers
  • 2012
  • Ingår i: Genes, Chromosomes and Cancer. - : Wiley. - 1045-2257 .- 1098-2264. ; 51:5, s. 480-489
  • Tidskriftsartikel (refereegranskat)abstract
    • Exome sequencing of human breast cancers has revealed a substantial number of candidate cancer genes with recurring but infrequent somatic mutations. To determine more accurately their mutation prevalence, we performed a mutation analysis of 36 novel candidate cancer genes in 96 human breast cancers. Somatic mutations with potential impact on protein function were observed in the genes ADAM12, CENTB1, CENTG1, DIP2C, GLI1, GRIN2D, HDLBP, IKBKB, KPNA5, NFKB1, NOTCH1, and OTOF. These findings strengthen the evidence for involvement of the Notch, Hedgehog, NF-KB, and PIK3CA pathways in breast cancer development, and point to novel processes that likely are involved.
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2.
  • Wood, Laura D, et al. (författare)
  • The genomic landscapes of human breast and colorectal cancers.
  • 2007
  • Ingår i: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 318:5853, s. 1108-1113
  • Tidskriftsartikel (refereegranskat)abstract
    • Human cancer is caused by the accumulation of mutations in oncogenes and tumor suppressor genes. To catalog the genetic changes that occur during tumorigenesis, we isolated DNA from 11 breast and 11 colorectal tumors and determined the sequences of the genes in the Reference Sequence database in these samples. Based on analysis of exons representing 20,857 transcripts from 18,191 genes, we conclude that the genomic landscapes of breast and colorectal cancers are composed of a handful of commonly mutated gene "mountains" and a much larger number of gene "hills" that are mutated at low frequency. We describe statistical and bioinformatic tools that may help identify mutations with a role in tumorigenesis. These results have implications for understanding the nature and heterogeneity of human cancers and for using personal genomics for tumor diagnosis and therapy.
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