Insteaf of using clinicopathologic parameters as a biomarker in biochemical testing for prognosis and selection of therapatic way for cancer patient , Genotyping or gene expression profiling by microarray and protein analysis by mass spectrometry is used for prognostic biomarkers with the understanding of the molecular mechanism of cancer subtypes(29). Biomarkers can be used alone or with combination of other parameters for classify subgroups according to their risk rate and for leading to therapy decision. For example, tissue microarray analysis with combining molecular and clinical biomarker is more efficient than the clasical clinical parameter for patient who has renal cell carcinoma(30). Approaches and Tools for Personalized Medicine Instead of using PCR, fluorescence in situ hybridization, immunohistochemistry, and sequencing for personalized medicine testing, high throughput analyses that consist of microarray, mass spectrometry, second generation sequencing, array comparative genomic hybridization, and high-throughput single nucleotide polymorphism (SNP) analysis were started to use after human genome project . These techniques can analyse numerous target at the same time(31). New technologies improve sesitiveness, speciality, trueness of new biomarkers. In figure 1 , different ways of PM testing is shown. (9) High-throughput whole genome sequencing Genome sequencing consist of three subprocess: sample preparation, physical sequencing, and reconstruction. Firstly in sample prepration phase, genome that will be sequenced is divided into the fragments. In physical sequencing, respectively identified individual bases of each fragmend is defined as the read lenght. In reconstruction phase, each fragments is overlapped according to original genome by using bioinformatic software . Traditianally first- genaration sequencing or Sanger sequencing was used for 30 years. Buy these methods is limited about reading long lenght of bases, costly and time consuming(32,33). Some cancer alleles couldn’t be detected with sanger sequencing method because of the lower level in cell.Now, next generation sequencing is preferred for genome analysis. Deep sequencing(34) that is coverage of interested sequence by extans>