Combines molecular medicine and bioinformatics to select the most appropriate therapy for patients with cancer.
Rather than identifying a cancer on the basis of morphological appearance of the cells and the environs, molecular characterization allows for classifications by determining the level of gene and protein expression within the malignancy and comparing that expression patterns. with the expression profiles of cancers with known outcomes.
Using algorithms the cancer is placed in outcome class derived from similar expression profiles to yield a survival probability.
Refers to the assessment of DNA, RNA, and/or proteins with in an individual patient’s cancer using cells obtained from a tumor biopsy or through the capture of tumor cells circulating in the blood stream.
Molecular profiling techniques include: polymerase chain reaction, in situ hybridization, chromogenic in situ hybridization, Sanger sequencing, NGS, Pyrosequencing, Fragment analysis.
Polymerase chain reaction is used to amplify and detect DNA and RNA sequences. It involves amplification or one or more copies of the chosen DNA sequence to produce millions of copies and enable detection analysis. Reverse transcription PCR converts RNA templates into complementary DNA for molecular analysis.