(D) The 20 most frequently mutated genes in 262 CRC tumors are shown. likely to become the standard of clinical practice in determining the optimal treatment for individual cancer patients [9C12]. To address the needs of modern precision oncology and to realize the benefits of routine tumor genome profiling for patients, we report utilization of CANCERPLEX?, a comprehensive next-generation sequencing (NGS) based analytical system that can identify and prioritize potential treatment strategies for solid tumors. CANCERPLEX is based on the rapid and accurate genetic analysis of clinical FFPE tissue, including core needle biopsies and cell blocks prepared from fine-needle aspirations, malignant pleural effusions and ascites. The assay includes efficient extraction of FFPE DNA followed by sequencing of 435 important cancer genes that are altered in a wide range of solid cancers. The assay Mouse monoclonal to MUM1 identifies oncogenic driver events that predict response or resistance to treatments and, thus, can impact therapeutic strategies. Mutation burden, microsatellite instability (MSI) and presence of oncogenic viruses are additional biomarkers that CANCERPLEX can detect, which enables oncologists to reach more informed therapeutic decisions. The test was developed by KEW, Inc. (Cambridge, MA, USA) to support clinical decisions by oncologists. KEW laboratory is accredited by the College of American Pathologists (CAP) and has Clinical Laboratory Improvement Amendments (CLIA). Materials & methods Reference material & tumor tissue For analytical validation of the assay, we used a panel of characterized DNA from the HapMap consortium (Coriell Institute for Medical Research, NJ, USA), cancer cell lines purchased directly from the American Type Culture Collection, and patient Fluralaner tumor and normal FFPE samples. Patient FFPE samples consisted of discarded and deidentified tumor specimens purchased from BioServe (MD, USA) or obtained from clinical operations. Normal FFPE samples of tonsil and endometrial tissue were acquired from UMass Cancer Center Tissue and Tumor Bank (MA, USA) (Supplementary Table 13). Pathologist review of tissue sections & genomic extraction of tumor DNA For each hematoxylin and eosin stained tissue section, regions of high tumor purity were selected for macrodissection and the marked hematoxylin and eosin slides were then digitally scanned and documented. For FFPE blocks, tissue macrodissection was done using 1-mm biopsy punches. Genomic DNA was extracted from tumor tissue using methods previously described [13]. For quality control (QC) purposes, extracted genomic DNA (gDNA) was evaluated by measuring the A260/A230 ratio (NanoDrop, Thermo Fisher Scientific, DE, USA) and by measuring DIN with TapeStation (Agilent Technologies, CA, USA). There was no cut-off on DNA Integrity Number (DIN) though less gDNA can be used when DIN 3.5. The Quant-iT PicoGreen dsDNA Assay was used to determine DNA concentration (Thermo Fisher Scientific, MA, USA). Selection of targets Genes were selected by comprehensive mining of the US FDA databases, NCCN, ASCO and ESMO Clinical Practice Guidelines in Oncology, COSMIC, TCGA and R&D pipelines of large pharmaceutical companies. In addition to gene-coding sequences, probes were added to address the accurate solving of selected chromosomal translocations, broad copy-number profiling, splice sites and untranslated regions (promoter of and gene amplification or the rearrangement. The minimum tumor content requirement was determined by assessing the Fluralaner impact of sequencing depth on the sensitivity of the test to detect the gene rearrangement. The H2228 cell line, which carries the gene fusion, was diluted by FFPE normal to generate series of samples with a tumor content ranging from 0.1 to 0.5. Samples underwent multiple sequencing runs and the number of chimeric reads as well as overall coverage was determined. The tumor mutation burden (TMB), defined as the rate of peptide-changing Fluralaner SNVs per Mb, was determined for all tumors. To estimate TMB, SNVs with a mutation allelic fraction (MAF) of at least 0.1 after Fluralaner standard filtering and with high or moderate putative impact were retained. Determination of MSI was based on an extended loci panel. In addition to the Bethesda panel, we analyze a collection of up to 950 regions consisting of tandem repeats of one, two or three nucleotides of minimum length of ten bases. The number of indels within the ROI was calculated and tumors were classified as high MSI (MSI-H) or microsatellite stable. The MSI status of 15 clinical FFPE samples was determined using PCR to amplify the Bethesda markers and IHC to confirm the presence of mismatch repair (MMR) proteins. For validation, CANCERPLEX testing.