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Molecular biomarkers of risk in rare and other cancers – identification and impact
Author(s) -
Joanna Selfe,
Janet Shipley
Publication year - 2016
Publication title -
the biochemist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.126
H-Index - 7
eISSN - 1740-1194
pISSN - 0954-982X
DOI - 10.1042/bio03801010
Subject(s) - identification (biology) , computational biology , profiling (computer programming) , medicine , bioinformatics , biology , risk analysis (engineering) , intensive care medicine , computer science , botany , operating system
Cancer medicine is evolving rapidly. Advances in gene sequencing and profiling technology now means that we can obtain vast amounts of information about the genetic makeup of individual tumours and harness this to both predict which patients are at most risk of failing to be cured by current treatments and to tell us which of the myriad of new drugs targeted at individual proteins and pathways may be the most effective treatment in a highly patient-specific approach.

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