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Can I read The Consensus Coding Sequences of Human Breast and Colorectal Cancers on EtoBox?
The Consensus Coding Sequences of Human Breast and Colorectal Cancers by Tobias Sjöblom; Siân Jones; Laura D. Wood; D. Williams Parsons; Jimmy Lin; Thomas D. Barber; Diana Mandelker; Rebecca J. Leary; Janine Ptak; Natalie Silliman; Steve Szabo; Phillip Buckhaults; Christopher Farrell; Paul Meeh; Sanford D. Markowitz; Joseph Willis; Dawn Dawson; James K. V. Willson; Adi F. Gazdar; James Hartigan; Leo Wu; Changsheng Liu; Giovanni Parmigiani; Ben Ho Park; Kurtis E. Bachman; Nickolas Papadopoulos; Bert Vogelstein; Kenneth W. Kinzler; Victor E. Velculescu is a nonfiction available to read on EtoBox.
What is The Consensus Coding Sequences of Human Breast and Colorectal Cancers about?
The elucidation of the human genome sequence has made it possible to identify genetic alterations in cancers in unprecedented detail. To begin a systematic analysis of such alterations, we determined the sequence of well-annotated human protein-coding genes in two common tumor types. Analysis of 13,023 genes in 11 breast and 11 colorectal cancers revealed that individual tumors accumulate an average of ∼90 mutant genes but that only a subset of these contribute to the neoplastic process. Using stringent criteria to delineate this subset, we identified 189 genes (average of 11 per tumor) that were mutated at significant frequency. The vast majority of these genes were not known to be genetically altered in tumors and are predicted to affect a wide range of cellular functions, including transcription, adhesion, and invasion. These data define the genetic landscape of two human cancer types, provide new targets for diagnostic and therapeutic intervention, and open fertile avenues for basic research in tumor biology.
Who reads The Consensus Coding Sequences of Human Breast and Colorectal Cancers?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Tobias Sjöblom; Siân Jones; Laura D. Wood; D. Williams Parsons; Jimmy Lin; Thomas D. Barber; Diana Mandelker; Rebecca J. Leary; Janine Ptak; Natalie Silliman; Steve Szabo; Phillip Buckhaults; Christopher Farrell; Paul Meeh; Sanford D. Markowitz; Joseph Willis; Dawn Dawson; James K. V. Willson; Adi F. Gazdar; James Hartigan; Leo Wu; Changsheng Liu; Giovanni Parmigiani; Ben Ho Park; Kurtis E. Bachman; Nickolas Papadopoulos; Bert Vogelstein; Kenneth W. Kinzler; Victor E. Velculescu
- Publisher
- American Association for the Advancement of Science; American Association for the Advancement of Science (AAAS); Publons; Oxford University Press (OUP); Test accounts; Research Square (ISSN 0036-8075)
- Published
- 2006
- Language
- EN
- ISBN
- 9783313904685
- Category
- nonfiction
- Subjects
- Science, Stem
More by Tobias Sjöblom; Siân Jones; Laura D. Wood; D. Williams Parsons; Jimmy Lin; Thomas D. Barber; Diana Mandelker; Rebecca J. Leary; Janine Ptak; Natalie Silliman; Steve Szabo; Phillip Buckhaults; Christopher Farrell; Paul Meeh; Sanford D. Markowitz; Joseph Willis; Dawn Dawson; James K. V. Willson; Adi F. Gazdar; James Hartigan; Leo Wu; Changsheng Liu; Giovanni Parmigiani; Ben Ho Park; Kurtis E. Bachman; Nickolas Papadopoulos; Bert Vogelstein; Kenneth W. Kinzler; Victor E. Velculescu
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